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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GSBR: Geometric Support Behavior Regularization for Online RL
Regularizing online reinforcement learning (RL) toward a pretrained base policy can improve sample efficiency and learning stability, but regularization that is too restrictive limits how much the…PACT: Pose-Robust Actuation Co-Design for Tendon-Driven Robotic Hands
Humanoid robotic hands must provide sufficient force, speed, and backdrivability within a human-scale envelope.PyRUA-DataFarm: LLM Agent as a Cost-Efficient Teleoperator for Real-Ready Robot Data
Teleoperation remains the default way to collect robot demonstrations, but every episode costs robot and operator time, and every new task starts from scratch.Visibility-Aware Reference Generation for Benchmarking Visual 3D Reconstruction in Vegetation-Rich Environments
Reliable evaluation of visual 3D reconstruction and depth estimation in vegetation-rich outdoor environments is limited by the scarcity of geometric ground-truth data and the cost of complete…GUILD: Guided Iterative Data Collection for Imitation Learning
Imitation learning policies in robotics are trained on datasets collected through costly real-world teleoperation.PolicyIK: High-Precision Inverse Kinematics for Robot Arms with Reinforcement Learning
Inverse kinematics (IK) converts end-effector pose commands into joint motion, and many vision-language-action (VLA) policies rely on it to act on a given arm and to transfer across embodiments.DreamX: Video Diffusion Model is a Universal Latent Action Learner
Learning a universal action representation from video requires modeling dynamics that are consistent across different executions of the same action yet invariant to changes in embodiment and…Jev with Foresight: Safe Language-Guided Autonomous Driving via a Language World Model
Large language models understand passengers' driving commands, but as driving agents they reason in generated text for seconds and must infer each action's consequences implicitly from the scene.Ctrl-F: Force as an Interface for Humanoid Loco-Manipulation
Humanoid motion tracking has scaled to general policies that reproduce diverse human motion, but the resulting behavior is in free-space: the tracker knows where the body should be, not how it…MESA: An Evaluation Framework for Compositional, Semantic, and Spatial Generalization in Robotics
Despite growing interest in foundation models for robotic manipulation, systematic evaluation of their capabilities remains elusive.ELA: End-to-End Latent Action Policy Learning from Video Demonstrations
Robot imitation learning is limited by the scarcity of action-labeled data, while action-free demonstrations such as videos are abundant.Contact-Implicit Whole-Body Trajectory Optimization for Dynamic Humanoid Locomotion on Parameterizable Uneven Terrain
This letter presents a trajectory planner for humanoid robots to perform dynamic motions on complex, parameterizable terrains using a contact-implicit whole-body optimization framework.$\mathcal{C}^\infty$ Smooth Trajectory Planning with Application to Soft Robots
High motion performance and avoiding structural vibrations rely on smooth trajectory planning.Beyond Accuracy: Information-Theoretic Decoder Evaluation Under Latent Intent
A central challenge in assistive brain-to-robot control is decoding a user's latent intent from complex and noisy brain signals.Correct Robots Before They Make Mistakes: Proactive Human-in-the-Loop Intervention via Preference Learning
This paper presents Proactive Human-in-the-Loop (PHIL), a framework for proactive policy correction and preference-based post-training.OdorSpaces: Visual-Olfactory Embodied Navigation in 3D Environments
Olfaction provides critical information about airborne chemical cues, yet it remains largely underexplored in embodied AI, with limited prior machine olfaction work focusing primarily on semantic…OUCH: Objective, Uniform, Controlled Haptic Stimulation for Automated Neurological Assessment
Motor responses evoked by noxious stimulation are used to assess neurological function in hospitalized patients with disorders of consciousness.GRASP: Gradient-Guided Sampling for Contact-Rich Physics-Based Motion Retargeting
We study physics-based retargeting of human demonstrations for robot learning: finding robot controls that reproduce reference motions under contact dynamics.Late Autumn: LLM Agents Specialize a General Multi-Robot Planner for One Warehouse
No algorithm is best on all problems, but a real warehouse is a narrow problem: its layout and processes rarely change.Learning Purposeful Co-designs of Bio-inspired Quadrupedal Robots
Treating morphology and control as separate design problems has constrained the efficiency and adaptability of quadrupedal robots, while current co-design approaches are often constrained by…