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 104
Silicon Language: A Robot-Native Knowledge Exchange Framework for Heterogeneous Robots
Reusing a capability across heterogeneous robots still requires substantial human adaptation and verification: transferring a skill often means re-engineering interfaces, retuning parameters, and…SMART: Zero-Shot Sim-to-Real Articulated Object Manipulation via Large-Scale Synthetic Pretraining
The ability to interact with articulated objects is essential for embodied intelligent systems, but collecting large-scale real-world demonstrations for these interactions remains challenging due to…Belief-Informed Hybrid Control with Almost-Sure Target-Set Convergence
Controlling a hybrid system to a target set under parameter uncertainty can require informative actions that temporarily drive the system state away from the specified set.EigenDEXplore: Structured Exploration for Dexterous Manipulation with Human Priors
Dexterous manipulation poses a challenging high-dimensional optimization problem, as useful behaviors require coordinated motion across many hand joints.ExoBridge: Learning a Bare Hand to Hand-Worn Exoskeleton Mapping through Human Limb Coupling
Human video offers a scalable source of experience for dexterous robot learning, but obtaining motion and tactile supervision while preserving bare hand interaction remains challenging.ESP: Energy-Score Policy for One-Step Multimodal Action Generation
Generative action models based on diffusion and flow matching have been increasingly adopted in vision-language-action (VLA) policies for their ability to capture diverse behaviors, including…Seeing Through the Displaced Frame: Privileged Noise Distillation for Vision-Force Precision Assembly
Pose error in precision assembly can corrupt not only what a robot observes but also the coordinate frame in which it acts.CoRE: Learning Collaboration-Role Experts for Decentralized Collaborative Manipulation with One Policy
Collaborative manipulation requires robots to perform complementary actions as interactions unfold.StairVLA: Stage-Aware Hierarchical Action Generation for Vision-Language-Action Models
Vision-language-action (VLA) models increasingly rely on diffusion- or flow-matching-based action heads to generate continuous robot actions.Model-Based Geometry-Aware Generative Optimization for Constrained Locomotion Planning
Constrained Locomotion Planning (CLP) for quadrupeds and humanoids, where robots must satisfy collision avoidance, contact consistency, kinematic feasibility, and support constraints, is challenging…Multi-Robot Multi-Goal Motion Planning with Stochastic Skills
As robots are increasingly deployed in groups and share workspaces to execute real-world tasks, planning their concurrent motions around complex manipulation skills becomes essential.CUSP: CUSUM-Governed Survival Hazard Alarms at the Perception Onset for Off-Road Navigation
Off-road navigation exposes a robot to potentially hazardous terrain en route.Beyond Retargeting: Low-Latency and Robust Humanoid Whole-Body Teleoperation with Learned Atomic Motion Primitives
Humanoid whole-body teleoperation translates human motion into stable robot behavior in real time.From Model to Prototype: Design and Motor-Flap Propulsion Control of a Twin-Wing Metamorphic UAV
This paper presents the design and control strategy for MetaMorpher, a metamorphic Unmanned Aerial Vehicle (UAV), capable of both spinning-wing hover and fixed flying-wing cruise flight.Revisiting Temporal Regularization for Smooth Control in Deep Reinforcement Learning
Deep Reinforcement Learning policies can produce nonsmooth action oscillations that hinder deployment on physical robots.PACE: Stage-Consistent Long-Horizon Robot Manipulation via Progress-Aligned Context for Execution
Demonstration-conditioned policies provide a natural interface for specifying robot behavior, yet long-horizon manipulation remains difficult when visually similar states recur across different…OpenWAM: An Open Framework for Composable World-Action Models
World-action models (WAMs) couple future prediction with robot control, yet existing systems often vary the video backbone, interaction structure, supervision, and inference procedure…Adapting Vision-Language-Action Models to Unknown Visual Disruptions During Execution
Visual disruptions can arise while a robot is executing a task, leaving a vision-language-action (VLA) policy to respond without knowing the disruption type or timing.Commit While Futures Agree: Consequence-Aware Adaptive Action Chunking for Robot Manipulation
Action-chunking policies predict multi-step control sequences, but a fundamental question remains: how much of a predicted action chunk should be committed before replanning?IronMan: Information-Constrained Video-Action Learning for Robot Manipulation
Video Action Models (VAMs) couple visual dynamics modeling with action generation for robot manipulation.