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 181
Embodied Snap: Octopus-Inspired Distributed Reach-and-Attach with a Speed-Limited Soft Arm
Reach-and-attach of soft robotic arms with passive suction requires accurate targeting and sufficient contact speed, yet geared actuators can impose a speed limit that improved trajectory tracking…MIRA-PRM: Mission-Informed Reusable Roadmap Planning for Mobile Gas-Sensing Inspection
Mobile gas-sensing inspection requires a mobile platform to reliably reach ordered sampling poses.Prescribed-Time Contracting-Boundary Control of a Tendon-Driven Flexible Arm
This study develops a prescribed-time performance-shaping control method for curvature tracking of a single-segment flexible arm actuated by three antagonistic tendon pairs.Transferring the Intelligence of VLMs to Robotic Control
Humans can seamlessly adapt to both physical and digital worlds, suggesting that while a digital-to-real gap exists in embodiment, environment and task, human intelligence itself may transfer across…General Collaborative Intelligence: Architecting Cognition for Resilient Multi-Agent Ecosystems
Multi-agent unmanned systems are moving from isolated, ego-centric sensing toward collaborative intelligence, in which distributed agents exchange compact features to overcome a local observation…An Empirical Study and Open Testbed for Federated Fine-Tuning of Vision-Language-Action Models
Adapting a pretrained Vision-Language-Action (VLA) model to a new robot, environment, or task requires demonstrations that are collected locally and often discarded.A Horizon-slicing Approach to Minimum Obstacle Displacement Planning for Robot Navigation
In this paper, we investigate the Minimum Obstacle Displacement Planning problem from a robot motion planning perspective.Connectivity-Aware Exploration of Robotic Grasp Spaces
Robotic grasping is typically formulated as the problem of identifying successful actions from a space of candidate grasp poses.M3GA-Wild: A Large-Scale Dataset and Benchmark for Multi-Modal Multi-session Ground-to-Aerial Place Recognition in Forests
We present M3GA-Wild, the first benchmark for multi-modal, multi-session ground-to-aerial place recognition in forests.Fast and Robust Temporal Logic Planning via ADMM-based Trajectory Optimization
We present a fast numerical method for safe continuous-time motion planning under Temporal Logic (TL) specifications.Anatomy of a Closed-Loop Collapse: A Causal Case Study of a Compressed VLA Policy
Compressed manipulation policies can pass offline evaluation while failing in closed-loop execution; this dissociation is established in prior work and is not our claim.On the Control of Mobile Ad-Hoc Agent Deployments in Partially Observed Space
We study the online deployment of mobile ad hoc networks in unknown orthogonal environments, formalized as the Partially Observable Cooperative Guard Art Gallery Problem.Splat-CBF: Safe Next-Best-View Control in 3D Gaussian-Splat Maps
Where to look and how to move?DiagGen: Agentic Generation of Deformable Assets with Sim-based Diagnostics for Robotic Simulation
While simulation-ready deformable assets are essential for in-silico robotic manipulation tasks, existing generation frameworks typically assess physical plausibility after generation, leaving an…Search, Ground, Plan: Functional Sufficiency for Task and Motion Planning under Incomplete Scene Knowledge
Foundation models (FMs) have expanded task and motion planning (TAMP) to manipulation problems specified through language and visual observations.Verti-WM: A Physics-Aided Exteroceptive World Model for Off-Road Reinforcement Learning
Reinforcement learning for off-road navigation requires extensive vehicle-terrain interaction data, which are costly to collect in high-fidelity simulation.Selective Commitment for Language-Guided Object Retrieval under Partial Observability
Language-guided object retrieval under partial observability requires deciding whether to gather more evidence, interact with the scene, grasp a candidate, or abstain.Tip Manipulation in Soft Everting Robots via Wall Retraction and Deployable Fingers
Soft everting robots can traverse long, confined paths by continuously growing, yet active interaction remains limited to a single tool fixed at or near the tip, unable to be repositioned on demand…AquaCap: A Training-Free Underwater Embodied Agent with Code-as-Policy
Recent advances in vision-language-action models have stimulated growing interest in underwater embodied intelligence.Probabilistic Scene Graphs: Hierarchical Representation and Real-time System
3D scene graphs provide semantically rich and hierarchical representations for robot perception.