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 62
GRASP: Global-Local Representation Alignment and Spatial-Physical Grounding for Bimanual Robotic Manipulation
Vision-Language-Action (VLA) models that directly regress joint-space actions avoid the deployment-time cost of inverse kinematics.BeJEPA: A Goal-Conditioned Humanoid Behavior World Model via Unsupervised RL
Humanoid control requires coordinating whole-body posture with position and heading in the world frame.SCOPE: Selective Certification of Program Edits for Embodied Heuristic Learning
Embodied heuristic learning must balance strategic adaptation with the preservation of previously successful behavior.ORD-WM: Learning Object-Centric Rigid Dynamics for 3D World Modeling in Robotic Manipulation
World models provide robots with a predictive mechanism for reasoning about how actions change object states in manipulation tasks.Structural Affinity: An Algorithm for Coherent Cage-Based Shape Design
Cage-based deformation (CBD) parametrises 3D geometry through a small set of control handles, effectively enabling a variety of tasks from animation and interactive modelling to tool-based…SimpleVLN: Towards Simple and Frontier Vision-Language Navigation
Vision-and-Language Navigation (VLN) requires embodied agents to ground language in visual observations and make long-horizon decisions.Expand-and-Prune: Test-Time Candidate-Space Adaptation for End-to-End Autonomous Driving
Candidate-based end-to-end driving planners reason over a finite set of trajectory hypotheses.NestedVLA: Learning to Consolidate and Generate Skills for Vision-Language-Action Models
Vision-language-action (VLA) models can learn a wide range of robotic skills, but combining separately trained skills remains challenging.LY-GWM-RoboCasa-Human300: Prediction-Guided Action Selection with a Graph Dynamics Model
We present LY-GWM-RoboCasa-Human300, a policy that combines a Human300-fine-tuned GR00T-N1.5 action generator, an action-conditioned graph dynamics model, and a learned binary state-reward scorer.CoEvolve: Self-Evolving Code Policies from Skills to Strategies for Humanoid Robots
Recent advances in Vision-Language-Action (VLA) models and World Action Models (WAMs) have expanded the manipulation and whole body capabilities of individual robots.SkyAgent: Revisable Target Memory for Continuous Aerial Search
Continuous aerial search builds target hypotheses from sparse, viewpoint-dependent observations.From Sliding Windows to Self-evolving Lifelong Memory: A Dual-perspective Survey of Memory Paradigms for Long-Horizon Robotics VLA Models
Long-horizon robotic tasks expose a fundamental limitation of current Vision-Language-Action (VLA) models because their restricted temporal context pre-vents effective accumulation and reuse of past…LAW: Unifying Language, Action, and World Modeling for Agentic Physical Intelligence
World-action models jointly predict actions and future world states, but long-horizon manipulation further requires language reasoning to plan subtask objectives, assess execution progress, and…Beyond Success Rate: Interventional Evaluation of Memory in Vision-Language-Action Systems
When we say that a robot uses memory, does that memory actually play a role?Look Before You Act: Bridging Active Perception and Vision-Language-Action Models via Observation-Aligned Data Adaptation
Robots manipulating objects in clutter must decide not only how to act, but also where to look.AWAM: Active Trajectory-Conditioned View Imagination for Robust Robot Manipulation
Rapid progress in embodied intelligence has enabled increasingly capable robots to follow language instructions and manipulate diverse objects.No Eyes, No Problem: What Does Touch Contribute to Blind Baoding Ball Manipulation?
Humans manipulate objects within their hands through touch alone with remarkable ease, but for robots, achieving sustained real-world manipulation without vision remains an open challenge.HexaShell: A Thin Harness for Exploring the Limits of VLM Agents as Robot Coding Agents
Agents built on vision language models (VLMs) now compete with learned policies on robot manipulation leaderboards.FLoTS-SLAM: Optical Flow-Derived Uncertainty for Monocular Dynamic SLAM with Two-Stage Optimization
Monocular simultaneous localization and mapping (SLAM) remains challenging in dynamic environments.Reinforcement Learning Based Multi-Terrain Adaptive Whole-Body Control for a Quadruped Manipulator
Legged robots equipped with manipulators offer promising capabilities for loco-manipulation tasks in unstructured environments.