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 143
Model-Informed Safe Reinforcement Learning for Bipedal Locomotion via Step-to-Step Prediction
Humanoid robots promise versatile mobility in cluttered, human-centric environments, but real deployment demands principled safety.Robot-Assisted Deployment and Maintenance of Inflatable Modules for Lunar Habitation: A Field Demonstration
Long-term human habitation and in-situ development on the Moon open a new era of space utilization.MonoEgo: Monocular Metric Egocentric Demonstration Capture with Passive Wrist Constellations and Sparse Workstation Anchors
Image-aligned metric demonstrations often require dedicated tracking hardware and synchronization across devices.Gaze Prompts: Temporally Dense Human Attention for Vision-Language-Action Fine-Tuning
Vision-Language-Action (VLA) fine-tuning pairs images with actions at every step, yet typically provides only a task-level language instruction, leaving moment-to-moment visual relevance implicit.Where Memory Belongs: Ledger, an Object Ledger for Memory-Augmented VLAs
Memory is essential for long-horizon, partially observed robotic manipulation: a robot must remember which object was placed in a drawer, whose cup it moved, or how many action cycles have elapsed.Aerial GRIPPER: A Gradient-based Real-time Inverse-game Predictor and Planner
Accurate capture of non-cooperative targets is critical.Efficient World Action Model Inference with Adaptive Intermediate States
World Action Models (WAMs) enable future-aware control by jointly modeling actions and environment dynamics.On the Numerical Reliability of Differentiable Physics-Based Optimization for Robotic Material Manipulation
Differentiable physics is increasingly used in robotic material manipulation for system identification, trajectory or skill optimization, demonstration generation, and robot or end-effector design.HOI-Retarget: Contact-Centric Retargeting for Human-Object Interaction
Learning from demonstration (LfD) has enabled humanoid robots to acquire diverse whole-body skills, but extending this paradigm to human-object interaction (HOI) is limited by the availability of…Natural State-Prediction Accuracy can Hide Weak Controlled Responsiveness in VLA Readouts
Accurately decoding object states from the internal representations of vision-language-action (VLA) models does not establish that the predictions respond faithfully to changes in the target…Sufficiency of Zeroth-Order Reward Shaping for Policy Gradient in Stabilization Control
Reward shaping is fundamental to modern robotic control with deep reinforcement learning (RL), yet practitioners still rely heavily on heuristic principles borrowed from classical optimal control…MarsLab: A Martian Rover Simulator for Planetary Rover Autonomous Navigation
Future Mars missions will require rover autonomy that can operate across unstructured terrain, changing illumination, atmospheric dust, and limited communication.SOR-Nav: Search or Relocate? Context-Gated Exploration and Cross-Region Relocation for Object Navigation
Object navigation requires an embodied agent to find an object in an unseen environment under partial observability and a limited motion budget.ExcavaTwin: Training-Free Geometry-Guided Semantic Elevation Mapping for Autonomous Excavation
Autonomous excavation requires a spatial representation that jointly captures terrain geometry and task-relevant semantics.DexWeave: Learning Dexterous Humanoid Loco-Manipulation from Human Demonstrations
Learning dexterous humanoid loco-manipulation from human demonstrations requires transferring not only human motion, but also the coordinated interaction structure underlying the demonstrated…Action Sequence Transfer via LLMs for Heterogeneous Environments
We present an action sequence transfer system that adaptively transfers user action sequences across different target spaces.Simulation for Planetary Robotic Perception and Autonomy: A Concise Survey of Recent Capabilities and Gaps
Planetary robotics is an important enabler of scientific exploration in environments where direct human-in-the-loop operation is costly, hazardous, or infeasible.PanoVLN: Towards Effective Panoramic Vision-and-Language Navigation
Recent vision-language models (VLMs) have advanced vision-and-language navigation (VLN), enabling models to predict navigation actions from visual observations and language instructions.CoHuB: A Simulation Benchmark for Multi-Humanoid Collaboration
Many physical tasks in human environments require collaboration, from assisting a partner to jointly manipulating an object.AGRO-SUVIDE: Agentic Robotics for Surgical Viscoelastic Debridement
Augmented dexterity has the potential to reduce the fatigue experienced by surgeons during repetitive surgical tasks.