Applied & Human-Centered · Computer Science & AI
Robotics
The newest papers in Robotics that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
4,418 papers, from 4 September 2026 to 5 November 2026: 4,418 arXiv preprints.
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Newest papers, page 112
Traversability-Aware Cooperative Path Planning for Human-UGV Casualty Evacuation
Heterogeneous multi-robot path planning is a well-studied problem in which agents with disparate kinematic and dynamic models must coordinate to achieve shared objectives.MarvisNav: Making Memory Visible on Route Choices for Zero-Shot Object Navigation
When searching for an object, people choose their next move by considering both likely target locations and places already explored.ArtifactArena: Evaluating Models by What They Build in the Physical World
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.SimForcing: Distilling Simulation Motion Priors into Real-Domain Robot World Models
Action-conditioned robot world models must respond precisely to robot trajectories while preserving realistic visual dynamics, yet learning both from heterogeneous robot videos remains challenging.RealtimeWAM: One-Step Asynchronous World Action Models
World Action Models (WAMs) incorporate visual representations from video generation backbones to guide action prediction.Physics Residual Dynamics and Reduced Order Whole-Body Planning for Obstacle Aware Human Robot Cloth CoTransportation
Human--robot co-transportation of deformable objects requires predicting object deformation during motion, since obstacle clearance depends on both the grasp points and the unactuated interior.AffordCraft: Scalable Construction of Task-Ready Simulation Assets from Single Images
Robot learning in simulation depends on the objects the simulator offers.On Learning Optimal Corners in Orthogonal Partially Observable Cooperative Guard Art Galleries
The CADENCE algorithm solves the Partially Observable Cooperative Guard Art Gallery Problem (POCGAGP) with formal coverage and connectivity guarantees, but leaves unspecified which valid corner each…H-JEPA: End-to-End Learning of Hierarchical World Models for Visual Planning
Long-horizon planning with latent world models requires reasoning across timescales and levels of abstraction.TAPDreamer: Transferable Adversarial Patches for World Action Models
World models learn to predict how their environment will evolve, making them an important foundation for general-purpose robotic control.Recursive Video In-Context Learning for Agentic Robot
LLM agents that orchestrate frozen vision-language-action (VLA) policies improve across episodes through text memory, which records what the agent did but not how the task is done.InterMimicGen: Scaling Humanoid Loco-Manipulation through Self-Evolving Motion Imitation
Captured human-object interactions provide rich supervision for humanoid loco-manipulation, but they are sparse, heterogeneous, and not directly executable by robots.BRACE: Adapting Whole-Body References for Force and Terrain Aware Humanoid Motion Tracking
Whole-body tracking has become the interface through which operators drive humanoid robots, yet the references it consumes are recorded on level ground and carrying nothing, so the tracker is aware…Behavioral Cloning Mystery
Behavioral cloning (BC), despite its simplicity, exhibits many counterintuitive phenomena in the real world.Demo: Vision-Language Model-Guided Online Calibration of an Electromagnetic Digital Twin
An electromagnetic (EM) digital twin gives mobile robots wireless situational awareness but depends on material conductivities that change with the environment.TeleHairing: A Teleoperation Baseline for Robotic Haircutting
Robotic haircutting requires controlled tool motion near the head while simultaneously accounting for communication, visual feedback, tool actuation, and interruption handling.AIM: Adaptive Interaction Modeling Networks for Real-to-Sim Soft-Body Simulation
Deformable-object manipulation is essential for robotic tasks such as folding laundry and handling food, where robots must control shape changes as well as object motion.R2RI: A Multi-View Event and RGB Dataset for Robot-to-Robot Interaction
Understanding and modeling interactions between autonomous agents is a fundamental challenge in robotics, with broad implications for collaborative systems, social robotics, and human-robot…Sim-to-Real Transfer of Vision-Language Navigation in Continuous Environments Using an Ackermann-Steered Mobile Robot
Vision-Language Navigation (VLN) enables robots to navigate through environments using natural language instructions, making human-robot interaction intuitive.RoboCap: A New Platform for Egocentric Robot Learning
Despite its promise for scaling robot learning, egocentric manipulation data is still scarce today.