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 79
LoopWAM: Closed-Loop Generalist Policy Improvement from Deployment Rollouts
Scaling expert demonstrations alone does not enable generalist robot policies to improve from deployment.ChunkAct: Action Chunking for Agentic Robotics
Agentic robotics places a large language model (LLM) agent in the robot control loop, where it composes perception, motion, and vision-language-action (VLA) tools under the guidance of a memory and…$λ_0$: Scaling Open-World Egocentric Human Data for Humanoid Loco-Manipulation
Humanoid loco-manipulation requires coordinated whole-body interaction with the physical world, yet collecting robot demonstrations at scale remains costly.Contact-UAN: Unsupervised Actuator Networks as a Residual World Model for Humanoid Control
Humanoid policies trained in simulation can transfer qualitatively to hardware while failing to transfer the force interactions learned during training, compromising torque efficiency, load…RingNav: Task-Shaped Circular Memory for Visual Heading
Tiny robots have limited computation and memory, yet visual navigation systems often maintain more state than a task requires.Tread: A Visuo-Inertial Framework for Terrain and Locomotion Context-Aware Gait-Phase and Speed Estimation in Wearable Robotics
A wearable assistive robot must continuously estimate terrain, locomotion mode, gait phase, and walking speed.Receding-Horizon Next-Best-View Planning for Highly Occluded Target Perception
Robotic systems that must acquire information about a specific target often face severe occlusion from sur- rounding structures or from the target itself, such that a single camera viewpoint…DexMimic: A Generalist Dexterous Hand-Object Tracking Policy via Value-Guided Reset Allocation
Achieving human-like dexterous manipulation remains a central challenge in robotics.DiffGIPC: Differentiable Mixed-Coordinate Contact Dynamics on GPU
Contact-rich inverse problems require efficient gradients and reliable enforcement of non-penetration.Benchmarking 3D Reconstruction for Under-Ice Robotic Perception in Arctic Environments
As the Arctic transitions toward a seasonally ice-free state, capturing the complex morphology of submerged sea ice is crucial for advancing models of ocean-ice-atmosphere heat exchange and…Learning in Orbit: Onboard Training and Closed-Loop Attitude Control with a Thermal Segmentation Model on a Spacecraft
Deep space missions increasingly require spacecraft capable of autonomously operating in environments with communication delays and bandwidth limitations.Collective Learning for Unified Robotic Manipulation via Predictive Dynamics Adaptation
Learning a collective policy for state-based Cartesian manipulation across diverse robotic embodiments presents a fundamental challenge due to embodiment-dependent transition dynamics.Post-Training, Finetuning, and Steering:A Field Guide for Curating Training Data
While Vision-Language-Action models have enabled impressive cross-task transfer in zero-shot settings, \emph{adaptation} methods are often necessary to achieve consistent performance on novel tasks.FACT: A Multimodal Force-Action-Track Foundation Model for Human-to-Robot Dexterity
Human demonstrations offer a scalable alternative to costly robot data collection for dexterous manipulation, but most human datasets lack force measurements.A Mode-Unified, Continuous, and Biomimetic Control Strategy of a Robotic Lower Limb Prosthesis
Existing biomimetic lower-limb prosthesis controllers are commonly designed for discrete locomotion modes, requiring separate parameterizations for level walking, ramps, and stairs.Into the LidarVerse: A Real-Time Unified LiDAR World Model Across Tasks and Sensors
We present LidarVerse, a real-time unified LiDAR world model for sensor simulation across tasks and sensors.End-to-End Vision-Language-Action Policies for Autonomous Lunar Rover Docking
Surface navigation on the Moon is subject to extreme illumination contrast and deployment-time perceptual disturbances.PACER: Process-Aware VLA Policy Learning from Human Corrections for Robotic Disassembly
Robotic disassembly of end-of-life (EoL) products requires robots to accommodate product variation, follow prerequisite sequences, and approach components precisely for contact-rich manipulation.Full-Order Safety for Nonlinear Reduced-Order MPC
Reduced-order models (ROMs) make model predictive control (MPC) of high-dimensional nonlinear systems tractable, but the resulting modeling error can lead to constraint violations on the real system.MIND: Instruction-Conditioned Incremental Grounding for Robots
Robots following persistent language instructions must decide which cached room judgments remain valid as their environment changes.