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 153
Communication-Aware Heterogeneous Graph Learning for Decentralized Multi-Human Multi-Robot Task Allocation
Multi-human multi-robot (MH-MR) teams combine robotic autonomy with human expertise, but effective task allocation requires coordinating scarce, dynamically available human support with distributed…Constrained Flow Policy Updates: A Generalized Schrödinger Bridge View
Online safe reinforcement learning (RL) seeks policies that maximize reward while satisfying safety constraints.Learning Geometry-Aware Virtual Fixtures From Sparse Demonstrations
In many teleoperation applications, collecting a large number of demonstrations as required for traditional probabilistic learning from demonstration (LfD) approaches may not be feasible.TriDrive: Joint Driver, Vehicle, and Road Modeling for Forecasting and Driver Monitoring
Predicting how drivers, vehicles, and road scenes interact and evolve together is central to driver monitoring.CAPEX: Efficiently Distilling Foundation Model Behavior into Deployable Robot Policies through Experience-Adaptive Reasoning
Robot learning has largely relied on human-teleoperated demonstrations to acquire effective learnable behaviors.What Must a World Model Distinguish for Planning?
World models simulate the consequences of action candidates, but good planning need not preserve every physical distinction required for accurate prediction.Learning Social Navigation from Internet Videos in the Policy State Space
Training robust social-navigation policies requires simulators with diverse scene layouts, terrain, and human motion, but constructing such environments and specifying pedestrian behavior is costly.MR. POP: Multi-Robot Parallel Optimizing Planner for Almost-Surely Asymptotically Optimal Planning
Finding globally optimal paths remains a fundamental challenge in multi-robot motion planning.Can a Robot Read Braille? - Learning to Adapt Contact via Imitation Learning for Tactile Braille Recognition
For people who are blind, touch provides an essen-tial channel for accessing written information through Braille.Multi-Objective Human-in-the-Loop Bayesian Optimization of a Lower-Limb Exoskeleton
Human-in-the-loop optimization (HILO) is a common approach for optimizing the control of assistive devices to account for the wearer's unique biomechanics and subjective preferences.Learning Vision-Based Agile Gap Traversal: Differentiable Simulation with a Warm-Started Critic
Traversing narrow gaps is challenging for autonomous quadrotors, especially when control commands come directly from high-dimensional visual observations.From Visual Search to Movement Control: A Priority Field for Artificial Agents
Human spatial attention is widely conceptualized as being guided by a priority map that integrates perceptual salience, current goals, and past experiences.RoboMonitor: Label-Efficient Runtime Monitoring of Robot Task Execution via Predictive Representation Learning
Learned robot policies produce actions, but their outputs alone do not establish whether execution is progressing as intended.Praxis: Distilling Physical Interaction Priors from Egocentric Videos for Generalizable Whole-Body Manipulation
Mobile humanoid manipulation requires both reaching a usable workspace and preserving precise hand-object interactions as object poses and contact conditions change.Anatomy-Aware Dexterity-Driven Design Optimization of Surgical Continuum Robots
Performing complex medical procedures with continuum robots requires careful selection of their geometric design parameters.Design and Characterization of a Variable-Length Continuum Mechanism with Force Locking
The utility of flexible continuum mechanisms for dexterous navigation is often impaired by their low stiffness, making them ineffective at manipulation in high-force scenarios.NavGen: Visual Generative Models as a Scalable Data Engine for Embodied 3D Navigation
General-purpose robot models increasingly rely on large and diverse datasets.Moving Horizon Estimation for Quadrotors: An $\mathcal{L}_1$ Adaptive Optimizer Approach
Moving Horizon Estimation (MHE) is a state estimation method based on finite-horizon optimization that can offer higher accuracy at the cost of increased computation compared to Kalman filter-based…SeA-RVINS: Semantic-Aware Tightly Coupled RTK-Visual-Inertial System with Correlation-Preserving Robust Estimation for Urban Navigation
Reliable absolute pose estimation in urban environments is undermined by outlier measurements and incorrect temporal associations that can persist in tightly coupled estimators.Evaluation Is All You Need for Multi-Modal Autonomous Driving
Multi-modal planning is promising for autonomous driving by representing multiple plausible behaviors in ambiguous and long-tail scenarios.