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 84
LERR-Nav: Learning to Coordinate Exploration, Recovery, and Reminiscing for Object Navigation
Object Navigation in unseen environments remains a fundamental challenge in embodied AI, as it requires agents to generalize visual and spatial reasoning to novel layouts.Have You Seen It Clearly? Uncertainty-Guided Belief Refinement for Zero-Shot Object Navigation
Zero-Shot Object Navigation (ZSON) requires an agent to locate target objects in unfamiliar environments without additional training for the test categories or environments.Harnessing VLM in Embodied RL: From Reward Regressor to Success Detector via Exploration-Augmented Key-Observation Gating
VLMs provide promising solutions to embodied reward design.A Reinforcement Learning Framework for Safety-Aware Haptic Shared Control in Surgical Robotics
Haptic shared control in surgical robotics combines human-side and robot-side forces at a shared end effector while preserving operator involvement.Exploring the Limits of Combinatorial Generalization in Embodied Manipulation
In embodied manipulation, Vision Language Action (VLA) models can execute atomic skills, but long-horizon manipulation requires recombining these skills without demonstrations for every skill…Harnessing SPAD Noise: Test-Time Gated Attention for Indoor Depth Estimation
Monocular depth estimation (MDE) has emerged as a cost-effective alternative to hardware-dependent 3D sensing modalities, yet predicting precise metric depth remains a persistent challenge due to…Learning Safety-Constrained Whole-Body Loco-Manipulation for Lunar Surface Operations
Robotic systems for lunar surface operations must act autonomously and preserve their own integrity in an environment where failures are unrecoverable and continuous supervision is impossible.Phase-Gated Constrained Reinforcement Learning for End-to-End Capture and Detumbling of Non-Cooperative Targets
Active debris removal requires a servicer spacecraft to approach a non-cooperative tumbling object, capture it, and arrest its rotation.GNFormer: Gaussian Neural Field Transformer for Efficient Camera-based Occupancy Prediction
Camera-based occupancy prediction provides geometric and semantic scene understanding for robot perception and has been adopted in autonomous vehicle and UAV perception systems.PointWalker: Mapless Quadruped Locomotion Directly From Raw LiDAR Point Clouds
Quadruped robots deployed for inspection and field missions must cross heterogeneous terrain, from stairs, slopes, and gaps to high platforms, stepping stones, and balance beams, where safe support…Vision-Predictor-Action: Towards Efficient Embodied AI via Neuro-Symbolic JEPA Predictors
Vision-Language-Action (VLA) models commonly generate robot actions token by token through Large Language Model (LLM) decoders, causing inference latency to grow with action sequence length and…Analytic Robot Self-Model: Learning Screw-Axis Kinematics for Rendering and Model-Based Control
Visual self-modelling lets robots learn body models from observations, but such models usually encode kinematics implicitly rather than exposing metric joint parameters for computation and control.Stereo-Planner: Learning Stereo-to-Trajectory Planning for Zero-Shot Sim-to-Real Quadrotor Navigation
Existing navigation systems commonly rely on dedicated depth sensors or explicit depth reconstruction, while learning to generate trajectories directly from RGB images remains challenging due to the…Anticipatory Textile MMG-Strain Sensing for Confirm-Then-Assist Soft Knee Exosuits
Soft wearable robots must commit to assistance around movement onset, when the available signals are ambiguous.Look Before You Move: Agent-Interface-Aligned Supervision for Open-World Mobile Manipulation
Open-world mobile manipulation requires a robot to find an object, approach it, and move it to a target receptacle from a language instruction.SIGN-MAPPO: State-Intent-Aware Graph Multi-Agent Reinforcement Learning for Cooperative Driving under Imperfect V2X
Cooperative driving at mixed-traffic unsignalized intersections is challenged by imperfect vehicle-to-everything (V2X) communication, human-driven vehicle (HV) intentions that cannot be directly…StreamingWAM: Streaming World Action Modeling via Chunk-Wise Staircase Flow Matching
World Action Models (WAMs), often built upon pretrained video-generation world models, have emerged as a promising framework for general-purpose and open-ended robot control.Imitation Learning via Discrete and Rhythmic Primitive Composition
Long-horizon robotic manipulation is inherently composed of semantically meaningful sub-tasks.Recovering Low-Bit Failures in Vision-Language-Action Policies via Quantization-Conditioned Reinforcement Learning
Quantization lowers deployment costs of vision-language-action (VLA) policies but can compromise task completion.Geometry-Aware Predictive Control for Walk-to-Run Bipedal Obstacle Crossing
This paper presents a geometry-aware predictive control framework for bipedal obstacle crossing across walking and running regimes.