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 6
Vortex-Induced Torque in Grasping Soft Objects: Influence of Geometry and Pneumatic Parameters
Vortex grippers are commonly integrated into automated systems for handling objects with complex geometries in packaging, sorting, and assembling.UniLoop: Unified Loop Closure Detection from Retrieval to Geometric Verification and Relative Pose Estimation
Loop closure detection conventionally cascades separate models for global retrieval, geometric verification, and relative pose estimation, leading to redundant computation and disconnected visual…TwinBridge: Digital Twin-Driven Policy and Reward Transfer for Real-World Reinforcement Learning in Laboratory Robotics
Online reinforcement learning offers an effective approach to precise laboratory manipulation, yet costly real-world demonstrations and limited access to dense process rewards hinder its practical…$A^3$-VLA: Automatic Perception-Guided Attention Alignment for Robot Manipulation
Vision-Language-Action Models (VLAs) enable robots to perform manipulation tasks by leveraging Vision-Language Models (VLMs) to process visual observations and language instructions.Beyond Infraction Scores: Failure-Boundary Profiles for Closed-Loop Evaluation of Driving and Robot Navigation Agents
Closed-loop driving benchmarks in CARLA rank agents by a driving score that multiplies route completion by an infraction penalty.Robocasa-Mem: Benchmarking Environment and Process Memory in Long-Horizon Mobile Manipulation
In the real world, mobile manipulation robots must perform complex object interactions and make multi-step decisions, often relying on task-relevant information that is no longer observable.H^2MARL: Hierarchical Heterogeneous Multi-agent Reinforcement Learning for Humanoid Robot Control
Coordinated whole-body control of humanoid robots remains challenging due to high-dimensional coupled dynamics and substantial physical heterogeneity across joint degrees of freedom (JDoFs).Playing Soccer Like Humans Do: Learning Versatile and Agile Humanoid Soccer via Latent Motion Priors
Humanoid soccer requires a robot to seamlessly combine agile locomotion, ball manipulation, and impact-rich contact dynamics across a continuous, dynamic behavioral spectrum.FOSCo-Net: Ego-centric Voxel Completion for Forest LiDAR Occlusions
Ground robots operating in temperate forests suffer from systematic LiDAR occlusions caused by tree trunks, creating persistent blind regions that degrade traversability estimation.Dynamic Shape Control of Soft Trunk Robots
Controlling the shape profile of soft trunk robots extends their reach into complex regions of the workspace and enhances their use in practical applications.Interactive World Simulation with Cosmos for Physical AI
We present a shared framework that adapts Cosmos world foundation models for real-time interactive world simulation in Physical AI.SCRUB: Contact-Based Surface-Frame Estimation for Force-Motion Control with an Armless Quadruped
Wiping, sanding, and inspection robots press a sliding tool on a surface with controlled force.Detecting Silent Action-Interface Mismatch with Calibrated Relational World Models
A robot action can satisfy shape and range constraints yet carry the wrong semantics: axes may be permuted, signs inverted, rotations rescaled, or gripper polarity reversed.Compounding Physical RSI: Turning Execution Failure into Inherited Capability
Generalist robot policies are trained on static offline datasets, yet physical manipulation unfolds sequentially across stages.Which Physical Tactile Cues Matter for Contact-Rich Imitation Learning? A Controlled Real-Robot Study
Vision-based tactile sensors capture multiple aspects of physical interaction within a single image stream, including contact appearance, geometry, indentation depth, and tangential deformation.Cognitive and Behavioural Effects of Haptic Feedback for ROV Teleoperation in Hazardous Environments
Teleoperating a Remotely Operated Vehicle (ROV) in complex underwater environments presents unique challenges.When to Ask for Help: Uncertainty-Triggered Aerial Refinement for Off-Road Navigation
Heterogeneous air-ground teams can use aerial sensing to address the limited range and viewpoint of ground-vehicle sensors, but deciding when the UGV needs assistance and what information the UAV…Where Is VLA Inference Time Spent? Bottlenecks and Optimization Interactions Across GPUs
Vision-language-action (VLA) models map camera observations and language instructions to robot actions.Dexterous Robotic Hands in the Foundation-Model Era: A Full-Stack Survey of Hardware, Data, Cross-Embodiment Transfer, Learning, and Evaluation
Dexterous robotic hands are increasingly coupled to large-scale human data and foundation models, yet progress in hardware, representation learning and evaluation is often assessed separately.PyRUA-REAL: Robot Exploration and Adaptive Learning through RSI in the Real World
Coding agents powered by models such as GPT-6-Astra connect spatial reasoning with executable robot behavior, raising the question of how such agents can produce lasting improvements in robot…