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 115
Now You Feel It, Now You See Me: Digital-Twin-based Teleoperation Interface for Dexterous Manipulation
Teleoperation is becoming increasingly important for collecting high-quality demonstrations to teach robots dexterous manipulation skills.Direction-Conditioned Policies for Online Goal-Conditioned Reinforcement Learning
Contrastive Reinforcement Learning (CRL) learns representations that estimate goal reachability, yet its policy remains conditioned on raw goals and therefore does not directly exploit the geometry…PB-STDG: A Prediction-Based Short-Term Decentralized Greedy Guidance Algorithm for a Drone Road System
In recent years, Unmanned Aerial Vehicles (UAVs) or drones have been increasingly adopted in urban environments for applications such as parcel delivery, infrastructure inspection, emergency…Recursive Self-Improvement of Visuomotor Policies through Local Recovery Supervision
Visuomotor policies can execute familiar tasks yet lack the corrective behavior needed after their own mistakes.A Safe Action Is Not Enough: Feasible-Future Decoding for Vision-Language-Action Policies
A safe action is not necessarily a viable one.VICON: Visual-Inertial-Contact based Hand-Object Tracking for Manipulation Datasets
Learning dexterous manipulation benefits from human demonstration datasets that capture diverse and natural hand-object interactions.Vela: Scaling Vision-Language-Action Models with Adaptive Action Curve Parametrization
Most vision-language-action models represent future motion as fixed-rate action chunks, tying temporal resolution and prediction horizon to a fixed output budget.Safe Ergodic Control for Multi-Robot Systems via Quadratic Programming
Ergodic control drives robots to spend time in each region in proportion to a spatial distribution of interest, making it well suited for dense spatiotemporal environmental monitoring.When and What to Prune? Stage-Aware Visual Token Pruning for Efficient VLA
Visual token pruning is an effective way to accelerate vision-language models and is especially useful for vision-language-action (VLA) inference, where many visual tokens must be processed before…CoDance: Learning Reactive and Compliant Human-Humanoid Interaction from Video
Partnered human-humanoid interaction couples locomotion with continuous physical contact.VAMPS: Visual and Motor Policies from Sampling-Based Planning
Learning robot policies directly on physical systems remains difficult because data collection is costly and policy exploration can be unsafe.Optimal Control with Learned Critics under Unmodeled State Dependencies
Model Predictive Control (MPC) provides a structured and constraint-aware mechanism for decision-making, but its reliance on optimization-friendly analytical dynamics models limits its use in tasks…TUCO: Curating Simulation Demonstrations for Sim-to-Real Robot Policy Co-Training
Simulation demonstrations can supplement scarce real-world data for robot policy co-training.RMMBench: A Comprehensive Benchmark for Robotic Mobile Manipulation
Although the advancement of vision-language models (VLMs) has endowed robots with enhanced environmental understanding and task reasoning, a comprehensive evaluation methodology is important to…EvoMem-VLA: State-Evolution Memory for Long-Horizon Robot Manipulation
Most vision-language-action (VLA) models rely on current observations and lose task-relevant evidence once it leaves view, limiting performance on long-horizon, memory-dependent tasks.Social Navigation for Tour-guide Robot
We propose a force-based model for social navigation of a tour-guide robot.FLEX-WAM: Flexible Block-Causal World-Action Models for Long-Horizon Imagination and Planning
World--action models (WAMs) promise a unified model that predicts action-conditioned futures, generates feasible actions, and supports planning in imagination.Robust Surgical Robotic Instrument Tracking via Sequential Multi-Cue Fusion and Sim-to-Real Self-Training
Efficient and robust tracking of surgical robotic instruments is important for robot-assisted minimally invasive surgery, yet remains challenging due to the complexity of surgical scenes and the…Robust 2D Traversability Mapping for Construction AMRs via Failure-Mode-Aware Fusion of LiDAR Geometry and Monocular Semantics
Autonomous Mobile Robots (AMRs) on active construction sites face severe navigational challenges: geometry-based traversability mapping (e.g., LiDAR) misses visually hazardous but geometrically flat…Deep Prior Learning for Embodied Perception
Embodied systems need geometric perception that exploits available observations beyond images alone.