Robotics & Automation
Robotics & Automation news today
80 stories from 1 sources in the last 48 hours, every one in English. Each links to its publisher.
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Silence Is Not Assurance: When Production Lane Keeping Assist Does Not Warn, and What It Costs
arXiv cs.RO (Robotics)
arXiv:2610.31899v1 Announce Type: new Abstract: Production lane keeping assist (LKA) systems tell the driver whether they detect the lane markings, but whether this displayed status reflects what the system perceives, and what happens when…
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MAST-VLA: Skill-Conditioned Adaptation with Trajectory-Affordance Priors for Multi-Skill Robot Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.32312v1 Announce Type: new Abstract: Generalist robot manipulation requires a single vision-language-action (VLA) policy to execute diverse skills across scenes and instructions. However, current multi-skill VLA policies often…
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LocoManiLab: A Unified Testbed for Data, Policies, Controllers, and Deployment in Humanoid Loco-Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.30876v2 Announce Type: replace Abstract: Humanoid robots must coordinate locomotion and manipulation in everyday environments, yet progress is difficult to assess across differing policies, controllers, and task settings…
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Design and Analysis of a Nonlinear Parallel Mechanism Coupling for Dynamic Humanoid Legs
arXiv cs.RO (Robotics)
arXiv:2610.16604v2 Announce Type: replace Abstract: Humanoids increasingly demand lightweight leg mechanisms for agile, dynamic, and energy-efficient locomotion. Reducing distal inertia through proximal actuation has thus become a common…
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FLORA: An Open Model Suite for Scaling Robotics Data Engines
arXiv cs.RO (Robotics)
arXiv:2610.31779v1 Announce Type: new Abstract: The life-cycle of robotics foundation models crucially depends on data labels. Outcome reward labels are needed for monitoring real-world deployments. Process reward labels are needed during…
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Adaptive World-Models for Anomaly Recognition (AWARE): A Framework for Robot Dynamics Prediction and Introspection
arXiv cs.RO (Robotics)
arXiv:2610.32742v1 Announce Type: new Abstract: Unrecognized anomalies in critical infrastructure can rapidly cascade into catastrophic physical or operational failures. Current anomaly detection approaches often rely on direct access to…
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GenTrack3: Hybrid Stochastic-Deterministic Online Multi-Object Tracking with Cluster-Aware Association
arXiv cs.RO (Robotics)
arXiv:2608.09581v2 Announce Type: replace-cross Abstract: Multi-object tracking (MOT) involves maintaining consistent target identities as objects dynamically enter and leave a scene. Deterministic approaches, such as tracking-by-detection…
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Input Bias Correction in Gaussian Process Regression
arXiv cs.RO (Robotics)
arXiv:2610.31920v1 Announce Type: new Abstract: In traditional Gaussian process (GP) regression, the inputs are typically assumed to be known, and uncertainty enters only through the measurements. When scalar fields are mapped using GP…
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The effect of limb kinematics on the speed of a legged robot on granular media
arXiv cs.RO (Robotics)
arXiv:1303.7276v1 Announce Type: cross Abstract: Achieving effective locomotion on diverse terrestrial substrates can require subtle changes of limb kinematics. Biologically inspired legged robots (physical models of organisms) have shown…
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Do Robotic World Models Really Follow Actions? Diagnosing and Aligning Action-Conditioned Generation for Policy Learning
arXiv cs.RO (Robotics)
arXiv:2608.24885v2 Announce Type: replace Abstract: Action-conditioned world models increasingly serve as learned simulators for robotic policy improvement, yet their reliability rests on an unverified assumption: generated futures…
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Deep Learning Warm Starts for Trajectory Optimization on the International Space Station
arXiv cs.RO (Robotics)
arXiv:2505.05588v4 Announce Type: replace Abstract: Trajectory optimization is a cornerstone of modern robot autonomy, enabling systems to compute trajectories and controls in real-time while respecting safety and physical constraints…
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Robot Motion Transition with a Human Motion Prior
arXiv cs.RO (Robotics)
arXiv:2610.30817v2 Announce Type: replace Abstract: Humanoid motion-tracking policies can reproduce diverse behaviors, yet connecting independently acquired motions into a continuous sequence remains challenging. Interpolation connects…
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Do VLAs Know They Will Fail? Interpretable Success and Failure Patterns in Physical AI Systems
arXiv cs.RO (Robotics)
arXiv:2610.32208v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have emerged as powerful general-purpose robot policies, but their successes and failures remain difficult to diagnose and understand. In this work, we…
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Robotic Spatiotemporal Editing: A Unified Interface for Controllable Action Generation via Masked Action Reconstruction
arXiv cs.RO (Robotics)
arXiv:2610.23002v2 Announce Type: replace Abstract: Generative policies can synthesize robot behaviors, yet controlling and editing them through diverse spatiotemporal references remains challenging. In the real world, human intent…
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Localization and Neural Splatting on the Edge: An FPGA Scene Memory for Robots
arXiv cs.RO (Robotics)
arXiv:2610.25068v2 Announce Type: replace Abstract: Resource-constrained robots and autonomous vehicles need scene memories that localize a camera and render nearby views without a desktop GPU. Scene-coordinate regression (SCR) and 3D…
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RobustRLlib: A Unified Library and Benchmark for Robust Reinforcement Learning Algorithms
arXiv cs.RO (Robotics)
arXiv:2610.32971v1 Announce Type: cross Abstract: Robust reinforcement learning (RL) is critical for reliable real-world deployment, where policies may fail under diverse shifts and disruptions. Existing robust RL algorithms offer a rich…
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ArtifactArena: Evaluating Models by What They Build in the Physical World
arXiv cs.RO (Robotics)
arXiv:2610.06511v2 Announce Type: replace Abstract: To evaluate the frontier, we must measure models not by what they say, but by what they can engineer and build in grounded physical environments. We introduce ArtifactArena, an open-ended…
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EgoForesight: Effectively Scaling Policy Learning with Noisy Egocentric Actions
arXiv cs.RO (Robotics)
arXiv:2610.31845v1 Announce Type: new Abstract: Scaling policy learning requires broad experience and reliable supervision. Robot demonstrations provide high-quality trajectory supervision but are costly to collect. Egocentric videos…
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If at First You Don't Succeed, Backtrack: Lightweight Recovery for Frozen VLAs
arXiv cs.RO (Robotics)
arXiv:2610.32941v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models perform well on robotic manipulation, yet remain brittle once their own actions carry them into states their training data barely covers. Recovering from…
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RMMBench: A Comprehensive Benchmark for Robotic Mobile Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.05414v2 Announce Type: replace Abstract: Although the advancement of vision-language models (VLMs) has endowed robots with enhanced environmental understanding and task reasoning, a comprehensive evaluation methodology is…
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Factor Graph-Based Continuum Robot State Estimation with Magnus Expansion Priors
arXiv cs.RO (Robotics)
arXiv:2604.15619v2 Announce Type: replace Abstract: Reconstructing the shape of continuum manipulators from sparse, noisy sensor data is a challenging task, owing to the infinite-dimensional nature of such systems. Existing approaches…
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From Acceptance and Avoidance to Affective Viscosity: Designing Social Agents Intermediating in Human Relationships
arXiv cs.RO (Robotics)
arXiv:2610.29674v2 Announce Type: replace Abstract: As social agents become embedded in human relationships, they are expected not only to provide smooth assistance but also to handle rejection, discomfort, jealousy, persistence, and other…
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When Human Corrections Travel: Safety in Federated VLA Adaptation
arXiv cs.RO (Robotics)
arXiv:2610.32888v1 Announce Type: new Abstract: Vision-language-action (VLA) policies can adapt to local human intervention, while federated learning can combine distributed robot experience without pooling raw records. We examine their…
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VORL-EXPLORE: A Hybrid Learning Planning Approach to Multi-Robot Exploration in Dynamic Environments
arXiv cs.RO (Robotics)
arXiv:2603.07973v2 Announce Type: replace Abstract: Hierarchical multi-robot exploration decouples frontier allocation from local navigation, making systems brittle in dynamic environments. Without awareness of execution difficulty…
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Flow-ERD: Agent-type Aware Flow Matching With Entropy-Regularized Distillation for Diverse Traffic Simulation
arXiv cs.RO (Robotics)
arXiv:2607.06957v2 Announce Type: replace Abstract: Realistic and diverse traffic simulation is essential to autonomous driving development. Yet prevailing benchmarks predominantly reward realism, and recent methods have optimized…
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Unified Condition-Action Modeling for Accurate One-Step Action Generation
arXiv cs.RO (Robotics)
arXiv:2608.16153v5 Announce Type: replace Abstract: Robot manipulation requires policies that are both accurate and efficient, as robot control must respond to changing observations under tight latency constraints. Recent diffusion and…
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Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration
arXiv cs.RO (Robotics)
arXiv:2605.31196v2 Announce Type: replace-cross Abstract: Safe human--robot collaboration requires more than visual description: a monitor must determine whether the robot body is safely separated, already colliding with the scene or a…
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From Tabletop to Walking Bot: Deploying a VLA Model on a Legged Manipulator Robot
arXiv cs.RO (Robotics)
arXiv:2610.32271v1 Announce Type: new Abstract: Vision-language-action (VLA) models are typically pretrained on broad, diverse datasets and subsequently fine-tuned on a comparatively small dataset tailored to a specific target robot. Such…
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Motion Generation With Environmental Constraints
arXiv cs.RO (Robotics)
arXiv:2607.25053v2 Announce Type: replace Abstract: Robot motion planning faces challenges in high-dimensional spaces and uncertain environments, often constrained by the need for collision-free motions. We advocate an alternative…
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See What I Need, Dream What I Want: A Navigation Foundation Model on a Self-Constructed Representation Space
arXiv cs.RO (Robotics)
arXiv:2610.31762v1 Announce Type: new Abstract: What visual representation should a navigation policy act on? Navigation policies built on vision foundation models largely leave representation design to the encoders' pretraining…
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GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks
arXiv cs.RO (Robotics)
arXiv:2607.05369v2 Announce Type: replace Abstract: For robots to work reliably in commercial and industrial applications, recent advances in agentic coding systems have potential to combine interpretable robot programming with the…
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OccamView: Object-Conditioned View Selection for Frame-Budgeted Active 3D Gaussian Reconstruction
arXiv cs.RO (Robotics)
arXiv:2608.16499v3 Announce Type: replace Abstract: Active 3D Gaussian reconstruction fundamentally relies on selecting informative next-best views under limited sensing budgets. Existing active 3DGS methods primarily plan viewpoints…
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SMR: Learning streaming motion retargeting for humanoids from human semantic
arXiv cs.RO (Robotics)
arXiv:2610.29169v2 Announce Type: replace Abstract: Retargeting human motion to humanoids requires preserving motion semantics while accounting for the robot's physical constraints. Kinematic pipelines prescribe a robot trajectory through…
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GenTrack2: An Improved Hybrid Approach for Multi-Object Tracking
arXiv cs.RO (Robotics)
arXiv:2510.24410v5 Announce Type: replace-cross Abstract: This paper proposes a visual multi-object tracking method that jointly employs stochastic and deterministic mechanisms to ensure identifier consistency for unknown and time-varying…
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SEVI: Safe Evidential Real-World Reinforcement Learning
arXiv cs.RO (Robotics)
arXiv:2610.31829v1 Announce Type: new Abstract: Real-world reinforcement learning has enabled contact-rich manipulation tasks to be trained directly on physical robots, but unsafe interactions during online learning remain a key barrier to…
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StackGen3D: Stable 3D Block Stack Generation from Multiview Silhouettes
arXiv cs.RO (Robotics)
arXiv:2610.31803v1 Announce Type: cross Abstract: Generating physically stable 3D structures from visual specifications requires resolving geometric ambiguity while accounting for physical interactions among objects. We present StackGen3D…
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No Eyes, No Problem: What Does Touch Contribute to Blind Baoding Ball Manipulation?
arXiv cs.RO (Robotics)
arXiv:2610.23438v2 Announce Type: replace Abstract: Humans manipulate objects within their hands through touch alone with remarkable ease, but for robots, achieving sustained real-world manipulation without vision remains an open…
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Distributed Swarm Morphogenesis with Neural Cellular Automata
arXiv cs.RO (Robotics)
arXiv:2610.31900v1 Announce Type: new Abstract: Swarm morphogenesis requires robots to assemble desired shapes through local interactions. We present a modular framework integrating neural cellular automata (NCA) with existing site…
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Robotic Budding: From Homogeneous Cells to Diverse Morphologies in Physical Self-Reproduction
arXiv cs.RO (Robotics)
arXiv:2610.31929v1 Announce Type: new Abstract: Physical self-reproduction in modular robots remains difficult because a robot must not only move, but also collect, align, dock, and separate modules reliably in hardware. Taking inspiration…
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$R^2E:$ A Role-driven Reward Evolutionary Framework for Automated Reward Function Design
arXiv cs.RO (Robotics)
arXiv:2610.32439v1 Announce Type: new Abstract: Designing effective reward functions is a critical challenge in Reinforcement Learning (RL), which traditionally requires costly manual trial-and-error. While Large Language Model (LLM)-based…
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Language as a Sensor: Calibrated Spatial Belief Estimation in 3D Scenes from Natural Language
arXiv cs.RO (Robotics)
arXiv:2606.08666v2 Announce Type: replace Abstract: Robots deployed in human-centric environments routinely receive natural-language descriptions of spatial information ("I left my backpack on the table") that reference parts of the world…
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Delay Randomization Widens the Delay Margin of Learned Humanoid Motion Trackers
arXiv cs.RO (Robotics)
arXiv:2610.32277v1 Announce Type: new Abstract: Learned humanoid controllers are usually trained in one simulator and then checked in a second one before they go near hardware. We ask what that check says about command delay. We train…
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Semantic Representation for Agentic Self-Play in Automated Laboratories
arXiv cs.RO (Robotics)
arXiv:2610.32755v1 Announce Type: new Abstract: Navigating complex, high-dimensional biological search spaces necessitates scalable physical and computational intelligence to explore beyond local optima through iterative self-play across…
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3D Generation for Embodied AI and Robotic Simulation: A Survey
arXiv cs.RO (Robotics)
arXiv:2604.26509v4 Announce Type: replace Abstract: Embodied AI and robotic systems increasingly depend on scalable, diverse, and physically grounded 3D content for simulation-based training and real-world deployment. While 3D generative…
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DiscoDemo: Discovering Efficient and Diverse Robot Demonstrations for Imitation Learning
arXiv cs.RO (Robotics)
arXiv:2610.32093v1 Announce Type: new Abstract: Behavior cloning for robotic manipulation is highly sensitive to the coverage of its training data, yet collecting diverse successful demonstrations remains costly. We study reinforcement…
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FORCA: A Force-Aware Coding Agent for Contact-Rich Robot Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.31841v1 Announce Type: new Abstract: Coding agents can translate language instructions into robot programs. For contact-rich manipulation, a key challenge is to generate and refine control logic that responds to physical…
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WorldMirror: Agentic Real-to-Sim Generation of Interactive Worlds from In-the-Wild Robot Demonstrations
arXiv cs.RO (Robotics)
arXiv:2610.31834v1 Announce Type: new Abstract: Existing approaches for robot learning in simulation often require substantial manual effort to construct scenes and specify tasks, limiting training scalability and data diversity…
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PartialBiGrasp: Inferring Hidden Local Geometry for Bimanual Grasping from Partial Views
arXiv cs.RO (Robotics)
arXiv:2608.19188v2 Announce Type: replace Abstract: Dual-arm robotic grasping is essential for manipulating large, heavy, and geometrically complex objects that cannot be reliably handled using a single manipulator. These large objects…
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Does LeWorldModel Preserve Local Action Geometry?
arXiv cs.RO (Robotics)
arXiv:2610.31716v1 Announce Type: cross Abstract: We examine how closely pretrained LeWorldModel (LeWM) reproduces the effects of small action changes. Using matched simulator and model responses, we measure action sensitivity with Gram…
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TTT in VLA Models: Exploring Training with Human Demonstrations
arXiv cs.RO (Robotics)
arXiv:2610.32094v1 Announce Type: new Abstract: Long-horizon robot tasks require retaining and using past information. We integrate Test-Time Training (TTT), which stores context in fast weights, into InternVLA-A1 and Pi0.5 to study action…
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OWLS: Open-world Language-conditioned Speed Fields for Zero-Shot Rover Navigation
arXiv cs.RO (Robotics)
arXiv:2610.32596v1 Announce Type: new Abstract: Semantics can provide a proxy for physical traversability. Terrain that looks like loose sand or a rock field is likely to have similar physical properties. Open-vocabulary vision-language…
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PnP*: A certifiable solver for Perspective-n-Point
arXiv cs.RO (Robotics)
arXiv:2610.31797v1 Announce Type: cross Abstract: Estimating a camera pose from 3D-2D correspondences - Perspective-n-Point - is one of the most fundamental problems in computer vision. Existing methods either solve a minimal problem or…
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PrefO2O: Zero-Shot Preference-Based Reinforcement Learning via Offline-to-Online Latent Preference Transfer
arXiv cs.RO (Robotics)
arXiv:2610.31812v1 Announce Type: new Abstract: Preference-based reinforcement learning (PbRL) has emerged as a promising paradigm for learning robot behaviors aligned with human intent. However, its scalability is fundamentally limited by…
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Move, don't think: sample-efficient collision avoidance with lossy proximity sensors
arXiv cs.RO (Robotics)
arXiv:2610.31891v1 Announce Type: new Abstract: Data-driven robots must learn to avoid collisions with as few demonstrations as possible to avoid collecting large datasets of destructive collision examples. We explore whole-body proximity…
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TravSUITE: Traversability via Self-Supervised, Uncertainty-Aware IRL and Terrain Estimation
arXiv cs.RO (Robotics)
arXiv:2610.32130v1 Announce Type: new Abstract: Traversability analysis in off-road settings remains a fundamental challenge for mobile robots. Key difficulties include constructing an accurate and expressive local map from multimodal…
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Geometry-Aware Reinforcement Learning for Close-Fitting Wearable Insertion
arXiv cs.RO (Robotics)
arXiv:2610.32143v1 Announce Type: new Abstract: Robot-assisted dressing is particularly challenging due to narrow openings and articulated body parts. Even small errors in the relative pose between the body part and garment opening can…
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RAISE-Vision: An Automated Contact Angle Measurement Platform for Contact Lens Wettability Characterization
arXiv cs.RO (Robotics)
arXiv:2610.32188v1 Announce Type: new Abstract: Contact angle (CA) is a common parameter measured in the development of novel contact lens materials and surface coating technologies. Existing literature on in vitro CA of contact lenses via…
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Incremental-Smoothing-Based ARAIM Protection Levels for Tightly Coupled GNSS/IMU Integration in Urban Canyons
arXiv cs.RO (Robotics)
arXiv:2610.32259v1 Announce Type: new Abstract: Protection levels (PLs) bound position errors under specified fault hypotheses and risk budgets, but advanced re-ceiver autonomous integrity monitoring (ARAIM) is formulated for snapshot GNSS…
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LogLook: Execution-Grounded Memory for Frontier-Model Robot Planners
arXiv cs.RO (Robotics)
arXiv:2610.32348v1 Announce Type: new Abstract: Many manipulation tasks require a robot to remember what it has done and what it has seen. Frontier vision-language models can plan such tasks without task-specific training, but how such a…
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Graphs of Trajectory Bundles for Nonlinear Motion Planning
arXiv cs.RO (Robotics)
arXiv:2610.32365v1 Announce Type: new Abstract: We present the Graphs of Trajectory Bundles (GTB) method for motion planning of systems with nonlinear and black-box dynamics, combining sampling-based motion planning with trajectory…
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From Freehand Demonstrations to Autonomous Robotic Ultrasound: An Anatomy-Anchored Learning Framework
arXiv cs.RO (Robotics)
arXiv:2610.32525v1 Announce Type: new Abstract: Ultrasound imaging is highly operator-dependent, motivating robotic systems that reproduce expert scanning skills consistently. These skills involve coordinated interpretation of anatomical…
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Facultative Swarming: A Capability, Not a Category, for Multi-Robot Systems
arXiv cs.RO (Robotics)
arXiv:2610.32526v1 Announce Type: new Abstract: Collective robotics is split by a long-standing but increasingly artificial boundary between centralised multi-robot systems that prioritise optimality and decentralised swarms that…
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Optimization, Optimal Control, and Reinforcement Learning for Robotics
arXiv cs.RO (Robotics)
arXiv:2610.32538v1 Announce Type: new Abstract: These lecture notes provide an introduction to optimization, optimal control, and reinforcement learning for robotics, emphasizing their mathematical connections and practical relevance. They…
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Monte Carlo-Based Indoor UAV Localization in Dynamic Environments Using Only Four Onboard Range Sensors
arXiv cs.RO (Robotics)
arXiv:2610.32645v1 Announce Type: new Abstract: Indoor UAV localization with minimal onboard sensing remains challenging, particularly in dynamic environments. We propose augmented filtered Monte Carlo localization (AF-MCL) for 2D…
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Predictive Long-Horizon Progress Modeling with Action-Aware Quantification
arXiv cs.RO (Robotics)
arXiv:2610.32776v1 Announce Type: new Abstract: Quantitative and dense task progress feedback is essential for robotic manipulation across data curation, policy evaluation, and reinforcement learning. Existing progress annotations often…
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HoloBoxing: A Simple Recipe for Humanoid Boxing with 7 Minutes of Single-GPU Training
arXiv cs.RO (Robotics)
arXiv:2610.32909v1 Announce Type: new Abstract: HoloBoxing presents a simple recipe for learning humanoid boxing by building on a pretrained whole-body controller. The recipe separates reusable motor skills from task decisions: a compact…
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Robotic Optical Coherence Tomography-Guided Geometric Modeling of Soft Tissue: 3D Representations for Data-Driven Closed-Loop Shape Control
arXiv cs.RO (Robotics)
arXiv:2610.32961v1 Announce Type: new Abstract: In medical robotics, data-driven soft-tissue shape control requires deforming tissue toward desired morphologies through sequential physical interactions. This challenge is particularly…
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ViT-H: Generative Video-To-Humanoid Control with Motion Tracking Feedback
arXiv cs.RO (Robotics)
arXiv:2610.32966v1 Announce Type: new Abstract: Learning humanoid control from monocular human videos offers a scalable way to acquire diverse whole-body behaviors. Yet, existing reconstruction-retargeting-tracking pipelines are limited in…
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SAGE: A hybrid vision-language and geometry framework for work-zone pathway prediction under temporary traffic control
arXiv cs.RO (Robotics)
arXiv:2610.31835v1 Announce Type: cross Abstract: Temporary traffic control redirects vehicles through work zones, requiring automated vehicles to connect an interpretation of the visible devices to a continuous passing path. Geometric…
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CEMIR vs. FISER: a comparative study of reasoning-based and enrichment-based approaches to pragmatic intent recognition
arXiv cs.RO (Robotics)
arXiv:2610.32022v1 Announce Type: cross Abstract: Intent recognition in human-robot interaction requires agents to resolve ambiguous natural language instructions by inferring the speaker's underlying goals. Research has increasingly…
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Regularised RL improves sim-to-real transfer
arXiv cs.RO (Robotics)
arXiv:2610.32855v1 Announce Type: cross Abstract: Regularised reinforcement learning (RL) has provable robustness guarantees that should ease the transfer of policies from simulation to robots, known as sim-to-real. Yet, weakly regularised…
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Haptic bilateral teleoperation system for free-hand dental procedures
arXiv cs.RO (Robotics)
arXiv:2503.21288v4 Announce Type: replace Abstract: Free-hand dental procedures are typically repetitive, time-consuming and require high precision and manual dexterity. Robots can play a key role in improving procedural accuracy and…
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RAPAC-DP: Response-Aligned Pending-Action Compensation for Diffusion Policies under Delayed Execution
arXiv cs.RO (Robotics)
arXiv:2608.15924v2 Announce Type: replace Abstract: Cloud-side inference expands the computational resources available to imitation-learning policies, but communication and inference latencies create a mismatch between prediction and…
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ContactBench 1.0: A Benchmark for Everyday Contact-Rich Robotic Manipulation
arXiv cs.RO (Robotics)
arXiv:2610.24512v2 Announce Type: replace Abstract: Contact-rich manipulation underlies many everyday human activities, yet evaluating robots on such tasks remains difficult: the tasks involve diverse contact behaviors and are hard to…
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RGraph-Eval: Task-Grounded Scene Graphs for Evaluating Robot Video Generation
arXiv cs.RO (Robotics)
arXiv:2610.31121v2 Announce Type: replace Abstract: Generated robot videos can look convincing while depicting the wrong interaction: a different object is moved, a grasp disappears, or a placement ends outside its destination. We…
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DepTR-MOT: Unveiling the Potential of Depth-Informed Trajectory Refinement for Multi-Object Tracking
arXiv cs.RO (Robotics)
arXiv:2509.17323v2 Announce Type: replace-cross Abstract: Visual Multi-Object Tracking (MOT) is a crucial component of robotic perception, yet existing Tracking-By-Detection (TBD) methods often rely on 2D cues, such as bounding boxes and…
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Metro-WM: Long-Horizon Latent Planning with Realisable Sub-Goals
arXiv cs.RO (Robotics)
arXiv:2609.31868v3 Announce Type: replace-cross Abstract: Model-predictive control with Joint-Embedding Predictive Architectures (JEPAs) provides a strong zero-shot goal-reaching planner, but it is only effective over short planning…
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Semantic Anchoring for Robotic Action Representations
arXiv cs.RO (Robotics)
arXiv:2607.13597v3 Announce Type: replace Abstract: Vision-Language-Action (VLA) models inherit rich semantic representations from pretrained Vision-Language Models, yet fine-tuning on limited robot demonstrations degrades this structure…
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Conditional Neural Processes for Self-Supervised Goal Discovery in Action Imitation
arXiv cs.RO (Robotics)
arXiv:2610.32688v1 Announce Type: new Abstract: Inspired by infants' ability to learn novel tasks by imitating others, in this work we evaluate to what extent Conditional Neural Processes can autonomously learn representations of actions…
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CARE: Consistent Action-Response Execution for Human-Guided Robot Transport
arXiv cs.RO (Robotics)
arXiv:2601.16686v2 Announce Type: replace Abstract: Human-guided collaborative transport becomes interaction-critical when the operator can continue along a route segment that is not executable by the robot--payload system. In this regime…