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 156
Learning to Leverage Compliance: A Policy-Admittance Learning Framework for Robotic Insertion
Policy learning and compliant control offer a promising route to reliable autonomous assembly under pose errors and contact uncertainty.Vision-Based 6-DoF Grasp Pose Estimation for Robot Cloth Unfolding
Cloth manipulation is a challenging task due to the deformable and high-dimensional nature of cloth, which leads to complex interaction dynamics and perceptual ambiguity arising from frequent…SatNav: A Scalable Benchmark for Long-Horizon UAV Vision-Language Navigation from Satellite Imagery
Urban uncrewed aerial vehicle (UAV) vision-language navigation (VLN) requires agents to follow instructions across extended urban spaces, inherently demanding long-term memory and geospatial…Generate, Track, Improve: Perceptive Multi-Skill Humanoid Locomotion with RL-Fine-Tuned Motion Generators
General purpose humanoids require locomotion controllers that are multi-skill, perceptive, dynamic, and robust enough to go anywhere humans can.Learning Robot Policies from Sparse Success Signals via STL-Guided Stein Variational Policy Gradient
Learning robot policies for tasks with sparse success signals is challenging when completion depends on coordinated actions, precise contact outcomes, or satisfying several conditions together.ConflictVLA-Bench: Benchmarking Behavioral Responses of Vision-Language-Action Models to Premise Conflicts
While Vision-Language-Action (VLA) models perform strongly on manipulation tasks, their responses to invalid task premises remain underexplored.Path Planning with Motion Primitives in Dynamic Environments: SIPP on Lattices
Autonomous navigation in dynamic environments is a critical challenge, particularly when spaces are shared with other mobile agents whose future trajectories are known.Humanoid Badminton: Learning Dynamic Racket Skills from Limited Human Motion Data
High-speed racket sports provide a demanding testbed for humanoid robots, requiring time-critical decisions, precise striking, and dynamic whole-body coordination.PHIRL: Aligning Learned Rewards with Task Progress for Inverse Reinforcement Learning
Human demonstrations provide dense policy-level information but sometimes lack local precision.Metro-WM: Long-Horizon Latent Planning with Realisable Sub-Goals
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 horizons.Efficient Bezier Velocity Optimization for Free-Floating Space Manipulators
We present FAVOR (Free-floating Arm Velocity Optimization with Recursive Sensitivities), a planner for collision-free reaching, tracking, and prescribed-time pre-grasp interception on an unactuated…Differentiable Dynamics for Autonomous Micro-Mobility Navigation
Autonomous micro-mobility vehicles (MMVs) such as wheelchairs, scooters, and bicycles have the potential to improve mobility access and support safe low-speed transportation in pedestrian-shared…Game-Theoretic Control with Constrained Potential Surgery
Constrained general-sum dynamic games are a popular formulation for highly interactive multi-agent planning problems.GT-VLA: Target-Conditioned Trace Guidance for Generalizable Robotic Manipulation
Vision-Language-Action (VLA) models have shown strong performance on robotic manipulation, but they often struggle to generalize to unseen tasks, configurations, and long-horizon settings.End-to-end QP-based policies: A unified perspective on robust control and robot learning
We present an end-to-end QP-based policy framework that enables systematic policy construction with minimal domain-specific design, while preserving the transparency and interpretability of…HapticWorld: an Interactive World Simulator with Real-time Torque Feedback
Contact-rich manipulation depends on force sensing that is hard to infer from visual signals alone, both for collecting demonstrations and for training policies.Inertia-Corrected Newton Method For Generalized Nash Equilibria in Dynamic Games with Optimality Verification
Newton methods efficiently find Generalized Nash Equilibria (GNE) in dynamic games by solving for the KKT necessary conditions.Low Cost Eye Tracking for Vision Screening
This engineering study assesses gaze-assisted data acquisition during visual screening with a Gaze Quest implementation via webcam and GC308 near infrared camera with an Orlosky eye tracking pipeline.Depth Any Seen: Which Surfaces and How Far?
When several surfaces are visible along a ray, recovering visible 3D structure from one image requires jointly estimating their presence and metric depth.Grasp2Twist: Learning Bimanual Dexterous Jar Opening by Reinforcement Learning
This paper presents Grasp2Twist, a bimanual dexterous manipulation system that learns to grasp and twist open jar lids using reinforcement learning.