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 179
Risk-Aware Motion Planning and Control under Unknown Dynamics with Hybrid Observations
We consider robotic motion planning and control under unknown dynamics with hybrid state observations, where state measurements are available only in parts of the state space.MoSAT: Human Motion Generation from Spatial Audio and Textual Description
Human motion is shaped by both external acoustic events and behavioral intent: spatial audio conveys environmental cues that elicit or guide a response, while text specifies the desired action and…ContactDP: Contact-Guided Diffusion Policy for Tight Insertion Tasks
High-precision connector insertion remains challenging for robotic systems due to tight mechanical tolerances, partial observability during contact, and multimodal uncertainty arising from occlusion…Structured World-State Reasoning for Agentic Robotic Search
Long-horizon robotic search must resolve natural language against heterogeneous, incomplete, and often ambiguous evidence: textual information, prior maps, and observations arriving over time.Object-Centered Reconstruction for Vision-Based 3D Force Estimation
Excessive force may damage tissue and increase the risk of anastomotic leakage in robotic colorectal surgery.Grounded Action Model: 3D Grounding as a Foundation for Robotics
Manipulation policies must know which objects matter and where they are, yet the pretrained backbones that current robot foundation models build on, from language in vision-language-action models…HumynexSurg-1: A Curated Expert Liposuction Dataset
Robot foundation models learn manipulation from large demonstration corpora, but surgery is missing from those corpora: across the 780-hour Open-H surgical collection, one dataset carries…HapticWAM: Distilling Imagined Touch into a World-Action Model without Inference-Time Tactile Sensing
Contact-rich manipulation requires estimating forces, slip and contact geometry that can remain ambiguous in scene images.BarrierFormer: Transformer-Guided Predictive Barrier Enforcement for Safe Robot Control
Control barrier functions (CBFs) have become one of the most popular tools for encoding and enforcing state constraints in safety-critical robotics.ReVeal: A Reconstruction-Aware Real-to-Sim Framework for VLA Policy Evaluation
Simulation-based evaluation provides a scalable and repeatable alternative to real-world evaluation of vision-language-action (VLA) policies.MR-SPITE: Accelerating Multi-Robot Conflict Scans via Hierarchical Swept-Volume Approximations
Conflict scanning over synchronized robot paths requires detailed collision checking, potentially across every robot pair at every timestep, and may be repeated many times as conflicts are repaired.FinsSim: A Reality-Aligned Integrated Simulation Platform for Underwater Robot Learning
Underwater robot learning relies on simulators that integrate high-fidelity hydrodynamics, convenient learning interfaces, and a credible transition to real scenarios.Topology-Informed Visual Prompting For Vision Language Action Policies
Vision-language-action (VLA) policies can struggle with manipulation tasks with complex obstacle geometries due to partial observability.Density-Driven Area Coverage for Nonholonomic Multi-Robot Systems with Safety Guarantee
Density-Driven Optimal Control (D2OC) provides a principled approach to distributing multi-robot teams over non-uniform spatial distributions.AquaWorld: Structure-Consistent Underwater World Generation for Robot Simulation
Underwater robot simulation requires diverse environments in which terrain, scene composition, tasks, and currents remain mutually consistent.SHAFT: A Slack-Compensating, Helical-Buckling-Attenuating Flexible-Shaft Transmission for Lightweight Multi-DoF Manipulation
Lightweight and slim manipulators enable safe operation in human living environments.Riemannian Density-Driven Optimal Control: Tangent-Space LQR for Second-Order Multi-Agent Systems on Curved Manifolds
Density-Driven Optimal Control (D2OC) provides an effective framework for steering multi-agent systems toward prescribed spatial distributions.A Direct Rigid Transmission 2-DoF Wrist Extension for Tendon-Driven Hand
Dexterous manipulation in confined spaces requires local control of hand orientation.StateMem: Single-State Residual Memory with Adaptive Inference for Vision-Language-Action Policies
Memory-dependent robotic manipulation often requires later actions to use information from earlier interactions.Decentralized Multi-Robot Exploration with Probabilistic Peer Intent and Multi-hop Plan Propagation
Efficient coordination under limited communication remains a key challenge in decentralized multi-robot exploration.