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 26
AquaProbe: Efficient Adaptation of Frozen Vision Models for Underwater Images
Reliable visual perception is essential for safe autonomous underwater exploration.FlapSim: A Composable MuJoCo Simulation Platform and Reduced-Order Aerodynamic Model Hierarchy for Flapping-Wing Robotics
Flapping-wing simulation must reconcile high-frequency wingbeat aerodynamics with the slower dynamics relevant to flight control and reinforcement learning.Robot Navigation and Canine Welfare: A Pilot Study Surfacing Challenges for Cross-Species Legibility and Proxy Validity in Animal-Machine Interaction
Autonomous delivery robots increasingly share residential spaces with companion animals, yet navigation behavior is rarely designed with animal welfare in mind.Confidence-Modulated Safety Filtering for End-to-End Policies
End-to-end policies, from task-specific controllers to robot foundation models, learn complex behavior from raw observations but are not guaranteed to remain safe, so they are often wrapped in a…STAR: Steering Action Representations during Inference
Vision-language-action models (VLAs) map language instructions and visual observations to robot actions, showing strong capabilities across robotic manipulation tasks.CuPIQP: A Batched and Differentiable QP Solver on GPUs for Robot Learning and Control
Quadratic programs (QPs) are fundamental building blocks of many robotic tasks such as inverse kinematics, whole-body control, and model predictive control.Contact Imitation Interface: Transferring Dexterous Skills by Showing How Contact Unfolds
Robot-free human demonstrations offer a promising route to scaling dexterous manipulation data.Consensus Within, Competition Between: Decentralized LLM Teams for Perimeter Defense
The use of large language models (LLMs) to coordinate multi-agent teams raises a fundamental architectural question: whether task allocation should be centralized in a single LLM controller or…Veloxity: Towards Memory-Safe UAV Embedded Firmware using the Rust Programming Language
Recent years have witnessed increased momentum towards memory-safe programming languages for safety-critical systems.Same Label, Different Interface: Beyond Action-Space Labels in Robot Learning
Robot-learning studies often compare position and velocity actions as though each label identified a single experimental treatment, yet the label alone does not determine what the robot executes.Minimum-Time Escape from the Conic Field of View of a Reeds--Shepp Pursuer: the Faster Evader
We continue the study of minimum-time escape of an omnidirectional evader from the forward conic field of view of a Reeds--Shepp pursuer, now for a faster evader, and solve the game for every speed…SKiD-SLAM: Resource-Aware Distributed Multi-Robot LiDAR SLAM for Planetary Missions with Field Deployments at Analog Sites
Future planetary exploration missions require teams of robots to collaboratively map unknown environments under severe communication limits, constrained onboard computation, and no central…Minimum Sufficient Communication for Independent Behaviour Tree Robot Teams
We present an experimental framework for determining sufficient communication in robot teams running fixed, independent Behaviour Trees with private blackboards.Embodied at Sea: Imitation Learning for Multi-Task Underwater Manipulation
Behavior Cloning has demonstrated promising generalization capabilities for robotic manipulation in terrestrial environments.CuraEval: Evaluating Demonstration Curation on Mixed-Skill Robot Data
Robot imitation learning uses demonstrations from operators of varying skill, but selecting training data remains challenging.HERON: Real-Time Obstacle-Aware Reachability Maps for Mobile Manipulators
Mobile manipulator robots rarely reposition their base during manipulation, because doing so requires real-time knowledge of how well the arm can reach its surroundings among obstacles.SimRetract: Zero-Shot Sim-to-Real Robotic Assistance for Retractor Take-Over in Open Surgery
We demonstrate the first zero-shot sim-to-real transfer for a surgeon-robot collaboration task in open surgery: retractor take-over.MATCH: Execution-Aware Hierarchical Reinforcement Learning for Vision-and-Language Navigation in Continuous Environment
Vision-and-Language Navigation in Continuous Environments (VLN-CE) requires instruction-consistent planning and reliable execution under collision constraints.Recursive Self-Improvement in Physical AI: Mechanisms, Evidence, and Evaluation
Embodied systems can update policies, world models, skills, and executable programs from deployment experience, allowing one interaction to benefit later tasks.Compositional Diffusion Planning with Chunk Selection and Reachability Measure
Compositional diffusion planners have demonstrated remarkable success on long-horizon diffusion planning by sampling short trajectories, namely chunks, and composing them into a long trajectory.