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 145
RoGSW4RLD: Feed-Forward 4D Gaussian Lifting for Robot World Model Rollouts
Action-conditioned video world models predict future robot interactions from multiple cameras, yet their outputs remain disparate video collections rather than a shared metric scene queryable across…DexAgent: An Agentic Human2Sim2Robot Framework for Dexterous Manipulation with Self-Evolving Tool Library
Human videos offer a scalable source of demonstrations for dexterous robot manipulation.From Pixel to Poses: Object-centric Tool Manipulation Learning from Human Demonstrations
Scaling up robotic manipulation is primarily bottlenecked by the scarcity of real-world robot data.Adaptive Safety Filtering for Frozen ACC Policies via Conformal Residual Calibration
Frozen adaptive cruise control (ACC) policies can violate constraints when deployment dynamics differ from their training conditions.Memory in the Sky: Low-Altitude Question Answering with Multi-Agent Memory Aggregation
This paper studies low-altitude question answering (LAQA), in which distributed unmanned aerial vehicle (UAV) memories are aggregated at a ground server to answer questions about observations over a…Self-Evolving Coding Agents: From Digital Programs to Physical-World Intelligence
Vision-language-action (VLA) and world-action (WAM) models map observations and instructions directly to robot actions.Revision, Not Restart: Revisable Visual Plans for Closed-Loop World-Action Models
World-action models use predicted visual futures to condition robot actions, yet execution feedback can invalidate parts of a prediction while leaving its task structure useful.Uni-VLaT: Whole-Body Tactile Adaptation of VLA Policies for Humanoid Loco-Manipulation
Physical contact often determines how a humanoid should respond during loco-manipulation, yet vision and proprioception alone are often insufficient to characterize physical interaction, especially…Manifold-Stable Flow Matching
Flow matching (FM) learns generative dynamics through velocity regression.Rethinking Causal Action Tokenization with Conditional Annealing in Flow Matching
Autoregressive Vision-Language-Action (VLA) models offer a scalable path to robot learning, yet existing action tokenizers treat tokenization as a compression problem, producing representations that…CoBrush: A Hierarchical Planning Framework for Human-Robot Co-Painting
Embodied co-painting requires a robot to repeatedly update a shared physical canvas while human intent evolves over interaction.Robot Tool Design from Scratch via Behavior-Aware Hierarchical Optimization
The ability to design a tool for a task marks a level of intelligence beyond merely understanding, selecting, or using one.ForVis: An In-Field Dataset and Benchmark for VIO Using Under-Canopy UAV Flights in Forests
Visual-inertial Simultaneous Localization and Mapping (VI-SLAM) for UAVs remains difficult to evaluate in real forest environments, where motion, illumination changes, repetitive vegetation, and…Terrain-Aware Autonomous Planetary Exploration for Exteroceptive-Proprioceptive Mapping with Quadruped Scouts
Autonomous planetary exploration requires robots to navigate unknown, uneven terrain while assessing risk, traversability, and energetic cost.Inspection-SPARS: Task-Oriented Sparse Roadmaps for Inspection Planning
Inspection planning seeks a minimum-length collision-free robot tour that observes a given set of points of interest (POIs).EdgeVLN: Runtime-Aware Deployment Ready Quantized Vision Language Navigation Model
Vision-language navigation (VLN) models perform well but target compute-rich platforms, limiting deployment on memory- and power-constrained robotic edge devices.F4R: Failure-Driven Recognition, Reconstruction, Refinement, and Redeployment for Continual Robot Self-Improvement
The real-world performance of current vision-language-action models is fundamentally constrained by the limited coverage of expert demonstrations and their insufficient understanding of physical…CollisionSplatting: Collision-Aware Motion Planning in 3DGS Scenes with Image-Conditioned Objectives and Adjustable Conservatism
Incorporating dense visual information into motion planning remains challenging, as geometric planners rely on abstracted scene representations that discard visual richness, while learned visual…Denoising Multi-Robot Trajectories
Multi-robot trajectory planning is a fundamental problem in multi-robot coordination but remains computationally challenging due to its nonconvex, multimodal, and high-dimensional nature.MM-ABC: Towards Generalist Mobile Manipulation via Seeing, Coordinating and Imagining
Mobile manipulation extends robot interaction beyond a fixed kinematic workspace by making the reachable region itself controllable.