Applied & Human-Centered · Computer Science & AI
Robotics
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4,418 papers, from 4 September 2026 to 5 November 2026: 4,418 arXiv preprints.
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Newest papers, page 161
TrackEverything: Long Horizon Dense Tracking via De-Duplicating 3D Scene Representations
Existing point tracking models face a fundamental tradeoff: they can either track a sparse set of query points over long horizons, or track all points across only short clips.Coding Agents for Generalized Task and Motion Planning Problems
Task and motion planning (TAMP) problems remain difficult even with full observability and object-centric states because discrete decisions are tightly coupled to geometric, kinematic, and dynamic…Rolling-WAM: World Action Models with Rolling Imagination
World Action Models (WAMs) couple action generation with future visual prediction for robotic manipulation.RAPID: Robot Agentic Programming from Demonstrations
Coding agents have demonstrated enormous success in solving complex programming problems.AD-WM: Action-Discriminative World Models for Counterfactual Model Predictive Control
Latent world models are typically trained to predict factual transitions, whereas model predictive control (MPC) must compare alternative actions from the same state.TinyCVIO: A Constellation-Aided Visual-Inertial Odometry System for Nanodrones
Nanodrones require accurate, real-time state estimation under severe sensing and computational constraints.LiTe-GS: Oracle-Efficient Next Best View Selection for 3D Gaussian Splatting
Selecting informative camera views is critical for efficient training and adaptive refinement in 3D Gaussian Splatting, where each observation significantly influences model parameters.POIL: Point-based One-Shot Imitation Learning with Stable Dynamical Systems
We present POIL, a point-based one-shot imitation learning framework with stable dynamical systems.Actively Resolving Contextual Uncertainty for Underspecified Tasks in Natural Language
Foundation models provide robots with the ability to interpret natural language and reason about environmental context, yet most language-conditioned policies assume that goals are well-specified…WALT: Learning World-Model-Aligned Latent Trajectories for Autonomous Driving
Driving world models learn rich predictive representations of the surrounding environment from visual observations, yet accurate visual prediction does not necessarily translate into effective…VkVIO: Cross-platform GPU Acceleration for Visual-Inertial Odometry with Vulkan
Perception in robotics and XR fundamentally relies on good state estimation.Realizability Is Not Enough: Encoding, Liveness, and Auditing of Synthesized Robot Supervisors
High-level robotic supervisors coordinate capabilities whose reported outcomes determine the robot's next action.DGT-Map: Directional Global Traversability Mapping Utilizing Multi-Task Learning for Heterogeneous Vehicles
Off-road traversability is direction-dependent and vehicle specific, yet most global maps assign a single isotropic cost to each location.Policy-Calibrated DAgger: Offline Calibrated Noise Injection for Imitation Learning
Policies trained with imitation learning can accumulate errors over time, causing the robot to drift outside the training distribution.Learning-Based Pressure Predictive Control of a Vertebraic Soft Robotic Tail
Soft robots have attracted much attention for their safe human-robot interaction and flexibility, but the typical continuum structure and nonlinear material behavior make the kinematics modelling…Memory-Aware Multi-Sensor Perception for Efficient and Safe Navigation in Dynamic Environments
Autonomous navigation in previously unseen environments requires effective perception, persistent environmental representation, and collision avoidance while maintaining progress toward a goal.Tactile Sensing Array for Multi-Phalanx Sensing in Humanoid Hands
Humanoid hands require tactile feedback across the whole finger, not just the fingertip, to grasp and manipulate objects properly.Aerial Manipulation in the Wild with Onboard Perception, Policy Learning, and Whole-Body Control
Aerial manipulation in outdoor environments remains challenging due to the simultaneous requirements of reliable state estimation, stable aerial motion, and precise manipulation under external…Containing Behavioral Cascades from Manipulated Claims in LLM-Powered Multi-Robot Systems
Large language model (LLM)-powered multi-robot systems are vulnerable to semantic manipulation: an accepted false world-state claim can trigger a fleet-wide behavioral cascade, causing unnecessary…A Long-Legged, Direct-Drive Monopedal Robot Achieves Exceptional Jump Height
We demonstrate a jumping robot that reaches high (7.6 m) and fast (190 ms stance time) jumps from a single long leg driven by a direct-drive transmission, without elastic energy storage.