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 103
Cross-Embodiment Robot Foundation World Models with Latent Actions
The diversity of robot embodiments and action spaces makes it challenging to build robot world models that generalize across different embodiments.OmniHOI: Dexterous Hand-Object Interaction from Monocular Human Video
Monocular videos of human manipulation provide abundant dexterous demonstrations, yet reconstructing hand-object interaction from a single view and transferring it to robot hands remain difficult…Self-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning
Behavior cloning (BC) in non-Markovian environments is a challenging problem because policies have to reason over contextual information over long horizons.Informationally Decoupled Trajectory Design for Sim-to-Real System Identification
Sampling-based system identification estimates physically meaningful parameters by tuning a simulator to reproduce the target system dynamics, providing an interpretable approach to improving…When Listening Becomes Easier: Scrubbing Visual Cues for Shortcut-Free VLAs
Shortcut learning is a prevalent issue in robot learning.Higher-Order Morphology Priors for Quadruped Reinforcement Learning Under Actuator Degradation
Actuator degradation turns quadruped locomotion into a coordination problem requiring joints to compensate for lost actuation.Noise-Induced Navigation in Non-convex Domains and Compact Manifolds
In this note, we study the problem of designing a feedback law that globally steers a system to a prescribed target configuration.iAm.md: Robot Skill Self-Assessment through Agentic Introspection for Unknown Open-Vocabulary Domains
Agentic AI based on Large Language Model generalization capabilities offers a wide range of potential applications, including planning for embodied tasks.ActiveReg: Information-Driven Active Regional Probing for Partial-to-Full Bone Registration
Accurate bone registration is essential for orthopedic surgical navigation and robotic assistance.Preserving Unstable Modes Through Inverse Dynamics in JEPA World Models
Robotic systems often exhibit unstable modes, along which small perturbations and disturbances can cause unbounded growth unless corrected through feedback.Seeing the Invisible: Physics-Guided Visual Prompting for Temperature- and Radiation-Aware VLA Navigation
Vision-Language-Action (VLA) models have become a major paradigm for Vision-and-Language Navigation (VLN).OpenSplatGraph: From Dense Semantic Maps to Structured Scene Graphs for Open-Vocabulary Robot Perception
Dense 3D mapping with semantic understanding is essential for robotic perception in complex environments.BiGym 2.0: Benchmarking Learned and Agent-Developed Policies for Humanoid Household Manipulation
Humanoid household manipulation requires the arms to act while the body balances, steps and changes posture.The Robot Is Not Its Description: GaugeBench for Representation Robustness in Morphology-Aware Policies
A robot description does more than specify a physical mechanism: it also encodes arbitrary conventions, such as joint-axis direction, joint-angle zero, and the order and names of links and joints.Modeling Latent Disturbances for Robust Decision-Making in World Models
In this paper, we study robust decision-making in the latent space of world models (WMs).Learning Grasp Targeting from Point Clouds for Log Pile Clearing on a Hydraulic Crane
In mill yards, log loaders clear dense piles by a sequence of bundle grasps: hundreds of logs rest in contact, and each removal changes the pile available to the next grasp.Nine Trials to Recover: A Reproducible Benchmark for Repertoire-Free Soft-Robot Damage Adaptation
We present a repertoire-free benchmark for soft-robot damage recovery under nine online trials.TacZero: Training-Free Peg Insertion Using a General-Purpose Vision-Language Model with Tactile Feedback
Robots that autonomously determine their actions from language instructions and sensory observations could perform new contact-rich manipulation tasks without task-specific training or hand-designed…Beyond Task Reward: A Controller-Restriction Protocol for Evaluating Embodiment-Dependent Competence
Co-design methods optimize a robot's body and controller jointly and judge the result by one number, the task reward of the fully optimized pair.OntoPlan: An Ontology-Grounded Scene Representation and Agentic Framework for Scalable Robot Task Planning
Large language model (LLM)-based robot task planning is promising for open-ended instruction following, but degrades on long-horizon tasks in large environments.