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.
Get the few papers worth your time in Robotics every morning.
Follow Robotics and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 152
GlowTact: Simple and Compact Vision-Based Tactile Sensing with High Sensitivity and Spatial Resolution
Vision-based tactile sensors (VBTS) provide rich contact information for robotic manipulation, but existing designs can be hard to simplify and adapt to the size and constraints of humanoid…Are Vision-Language-Action Models Robust to One-Step Observation Perturbations?
Understanding the safety risks of vision-language-action (VLA) models is essential for their deployment in the physical world.Assisting for Open-Ended Tasks: Goal-Oriented Shared Autonomy as a Particle Filter
A common approach for shared autonomy blends human inputs with autonomous assistance based on the human's likely goal.Think Fast, Plan Selectively: Adaptive Deliberation for Efficient Data-Driven MPC
Data-driven model predictive control (MPC) combines learned world models with online trajectory optimization, achieving strong performance in continuous control.RECAST: Recasting Vision-Language Semantics into an Actionable Cost Map for Robot Navigation
Safe and robust robot navigation across diverse environments requires a high-level understanding of complex scenes and the ability to carry it into stable motion.World SLAM Model: Joint World Modeling for SLAM and Navigation
We introduce World SLAM Model (WSM), a unified framework that brings the SLAM paradigm directly into downstream navigation.PF-RL: Progress Field Reinforcement Learning via Goal-Conditioned Value Geometry for Vision-Language-Action Models
Reinforcement Fine-Tuning~(RFT) has emerged as a promising paradigm for improving Vision-Language-Action~(VLA) policies, yet sparse task-level outcomes provide limited credit for intermediate…SEES: A Self-Evolving Embodied System via Failure-Guided VLA Policy Adaptation
Recent vision-language-action (VLA) policies demonstrate promising generalization across diverse short-horizon tasks.MORPH: Self-Organising Multi-Robot Task Allocation via Neuroplasticity-Inspired Adaptive Topology
Multi-robot task allocation (MRTA) in dynamic environments faces a fundamental tension: effective coordination requires learned structure, but that structure must adapt when conditions change.An Empirical Study on What Matters for Viewpoint-Generalizable Policies in Visual Imitation Learning
Visual imitation learning is a promising approach to training robot manipulation policies capable of completing a wide variety of tasks.CLAP: Closed-Loop Alignment with Pressure for Precise Suction Manipulation
Stacking and palletising demand precise placement: error left in one layer is inherited by the next, and a flat pad offers no feature to funnel a wrong pose into the right one.Copper-Policy: Focus on the Representation for Robust Robot Manipulation
World Action Models (WAMs) acquire behavioral priors by modeling future scene evolution, but predicting detailed futures in pixel or latent space incurs substantial cost.CollisionGAT: Controller-Agnostic One-Step Collision Screening for Multi-Agent Motion
Before a team of robots moves, each proposed step must be checked for collisions with other robots and with obstacles.PlanGuard: A Guardrail for Multi-Step Plan Safety in Embodied Agents
Embodied task planners may produce multi-step plans whose subtask dependencies and interactions with the environment create physical risks during execution.Towards Kinematic Actionable Infeasibility Detection in Motion Planning
Motion planning in robotics requires not only computing collision-free paths but also certifying infeasibility when no such path exists.Scanning While Imagining: A Scene-Graph World Model for Robotic Ultrasound Navigation
Ultrasound (US) acquisition depends on the operator's ability to interpret anatomy and anticipate how the view will change with probe motion.FINE: Future-Informed Navigation Encoding for Data-Efficient Vision-Language Navigation
Adapting vision-language navigation (VLN) policies to new environments is expensive because every additional route and instruction requires an embodied demonstration.RoboFoundry: System-as-Policy Evolution for Self-Learning Embodied Agents
A foundation model should not act in isolation as an embodied agent.Optimizing H-Graph Hybridization for Diffusion-Guided RRT
Sampling-based motion planners guided by diffusion models produce high-quality trajectories in a single run, yet the stochastic diversity available at inference time is left largely unexploited.Vision-Language Agents for Active Perception in Optics Laboratories
Vision-language models (VLMs) are increasingly being used in scientific workflows, but their ability as agents to directly control laboratory experiments from visual feedback remains underexplored.