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 130
UniWAM Technical Report: Unified Mobile Manipulation via Mixed-Stream World-Action Modeling and Manipulation Anchor Pose Supervision
Mobile manipulation requires precise navigation to a manipulation-ready pose followed by reliable object interaction.IronMind: Scaling Humanoid Dexterous Manipulation via Camera-Space Ego-Centric Pretraining
Egocentric human video offers a scalable data source for dexterous manipulation, yet using it to train humanoid robots presents two challenges: (1) an embodiment gap, as human hands differ…Communication-Free Distributed Multi-Robot Task Allocation under Partial Observations Using Labeled Multi-Bernoulli Filtering
This paper proposes a communication-free multi-robot task allocation framework based solely on local observations.LIBERO-Agent: Evaluating General-Purpose Agents for Direct Embodied Manipulation
General-purpose agents can plan, use tools, and revise their behavior from feedback, but it remains unclear whether these capabilities transfer from digital environments to embodied manipulation.Discrete Forcing: Infusing Discrete Guidance into Continuous Denoising for Few-Step Action Experts
Efficient action generation in vision-language-action (VLA) models requires capturing both coarse action structure and fine-grained details.General Performance Guarantee for Human Torque Estimation-Based Task-Agnostic Assistive Exoskeleton Control
Accurate human torque estimation is crucial for enabling task-agnostic control in robotic exoskeleton systems.Divide and Collapse: MAPF-Collapse via Exact Decomposition into Independent Sub-Instances
In this work we study the problem of MAPFC, a post-optimization step for Multi-Agent Path Finding (MAPF) plans where we are given a feasible plan produced by a modern MAPF solver and are tasked with…Sparse Planner: A Hybrid Planner for Efficient Sampling via a Conditional Variational Autoencoder
Trajectory planning is a core component of autonomous driving systems, where real-time performance and solution quality directly affect safety and reliability.ECHO-G: Embodied Co-speech Humanoid mOtion Generation
Generating full-body co-speech motion for humanoid robots requires coordinating speech prosody, linguistic content, and embodiment-specific motion.Neuro-Symbolic Predicate Learning for Semantic Safe Robot Control
As robots are increasingly deployed in everyday environments, ensuring their safety has become a central challenge.MVP-SLAM: Multi-Camera Visual-Inertial Floorplan-Prior SLAM
Indoor building construction sites are demanding environments for visual SLAM, where variable lighting and repetitive, low-textured structures make the system drift over long trajectories, though…Text-to-3D Policy: Fine-Grained Language-Behavior Alignment for Unseen Specification Generalization
3D visuomotor policies provide a strong foundation for spatially precise manipulation, yet current text-to-3D policies struggle to follow unseen fine-grained behavioral specifications beyond those…GroundAnything: Reconciling Parallel Decoding with Precise Visual Grounding at Flash Speed
Autoregressive (AR) grounding models serialize spatial predictions, introducing sequential latency and imposing a causal order on output tokens.GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives
Precise grounding matters.Towards Agile Vision-Based Multi-UAV Flight: Revisiting State Estimation
Agile multi-UAV flight requires accurate and low-latency onboard estimation of the kinematic states of neighboring UAVs for collision avoidance, motion coordination, etc. Most vision-based…TO-mdiSPAs: Topology Optimization of multi-directional Soft Pneumatic Actuators
Soft pneumatic actuators (SPAs) are highly promising and have been extensively explored within the field of soft robotics.Prediction is Better than Detection: Traffic Congestion Control using Drones
A central question in deploying teams of mobile robots for persistent monitoring is how task performance scales with fleet size, and whether this scaling holds once sensing drives downstream action…Making Waves: A Membrane-Coupled Delta Array for Manipulating Objects Below the Actuator Spacing
Distributed manipulator systems manipulate objects through the coordinated motion of many actuators.From Local Whole-Body VLA Behaviors to Scene-Scale Aerial Manipulation
Vision-language-action (VLA) models enable task-conditioned interaction, but extending them to scene-scale aerial manipulation remains challenging due to costly whole-body demonstrations…RoboCoach: World Models as Active Coaches for Compositional Robot Skills
Long-horizon robot manipulation reuses skills across many task compositions, but improving these compositions with additional end-to-end demonstrations is costly.