Applied & Human-Centered · Computer Science & AI
Robotics
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4,418 papers, from 4 September 2026 to 5 November 2026: 4,418 arXiv preprints.
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Newest papers, page 106
SC3BF: Shifted Collision Cone Control Barrier Function for Dynamic Obstacle Avoidance
The collision cone used by velocity-space control barrier functions is conservative: it rejects every relative velocity aimed into an obstacle, however slow.Event-Driven Proactive Robot Assistance through Vision-Language Reasoning
Assistance in collaborative manipulation is often initiated by user instructions, making high-level reasoning request-driven.How Much Planning Is Enough? Reducing Search and Computation in World-Model Planning
Visual world models enable goal-directed control through decision-time action search, but their deployment efficiency is often limited by conservatively large planning budgets.From Legs to Wheels: Embodiment-Aware Human Motion Retargeting for Mobile-Base Humanoids
Human video offers a scalable source of robot demonstrations, yet most human-to-humanoid retargeting methods assume a legged robot with human-like kinematics.Post-Grasp Kinematic Repair for Robotic Insertion via Object-in-Gripper Reorientation
A stable grasp does not guarantee kinematically feasible robotic insertion because the object-in-gripper transform may force the robot towards singularities or joint limits along the prescribed…MIM-VLA: Learning Physical Interaction Representations from Gripper Motor Feedback
Vision-language-action (VLA) policies infer grasp actions primarily from visual observations and robot state, but do not explicitly represent the physical response observed after contact.Safe Multi-Robot Collaborative Transport Using Density Functions
This paper presents a hierarchical density-based model predictive control framework for safe collaborative manipulation by multiple quadrupedal robots.ActTune: Action-Aware Precision and GPU Operating-Point Adaptation for Energy-Efficient Vision-Language-Action Inference
Vision-language-action (VLA) policies repeatedly invoke inference to control robots, making graphics processing unit (GPU) energy a recurring cost of task execution.Behavioral Safety Assessment towards Large-scale Deployment of Autonomous Vehicles, Part I: Methodology
Autonomous vehicles (AVs) have significantly advanced in real-world deployment in recent years, yet safety continues to be a critical barrier to widespread adoption.Behavioral Safety Assessment towards Large-scale Deployment of Autonomous Vehicles, Part II: Assessment Results
Third-party evaluations of autonomous vehicle (AV) safety can play a vital role in improving public acceptance, building consumer confidence, and establishing effective safety standards.Federated Bayesian Surveillance of Mechanical Thrombectomy Adverse Events: A Population Risk Layer for Surgical Digital Twins
Learned surgical simulators and world models can roll out plausible procedural futures, but they carry no grounded estimate of how often interventional devices actually harm patients.A Belief-State World Model for Catheter Navigation under Sparse Fluoroscopy: A Planar Proof of Concept
Endovascular catheter navigation relies on continuous fluoroscopy, exposing patients and clinical staff to ionizing radiation throughout the procedure.No Need to Stop the Fleet: Localized Anomaly Isolation via Dead Zones in AGV Fleets
Automated Guided Vehicle (AGV) fleets in production and logistics environments rely on a system-wide emergency stop to handle local anomalies such as malfunctions, hazards, or contaminated areas.WareFly-VLA: A Vision-Language-Action Framework for UAV Navigation and Human Tracking in Smart Warehouses
Vision-Language-Action (VLA) models have achieved impressive results in robotic manipulation and ground-mobile navigation, yet language-conditioned control of unmanned aerial vehicles (UAVs) in…Pareto-Optimal Entropy-Regularized Trajectory Optimization
Trajectory optimization (TO) under nonlinear dynamics, actuation limits and collision avoidance constraints is a fundamental problem in robotics, albeit especially challenging due to its highly…Micro Neural Policies for Safe Real-Time Robotic Control
In this paper, we investigate the synthesis of Micro Neural Policies (MNP) to enable safe and robust real-time robotic control on computationally constrained embedded devices.Towards Efficient Robotic Manipulation Models with Self-Recursive Pruning
Network pruning can reduce parameter redundancy in robotic policies.One for All, All for One: Coordinated Multi-Agent Diffusion Steering via Stochastic Optimal Control
Deep generative models often produce structured outputs composed of interacting components.A Swarm-Coordinated Multi-Robot System for Early Stress Detection in Agricultural Rows Using Multimodal Leaf Sensing
Early stress detection in crops is a necessity today to improve efficiency and reduce waste of time, money, and effort.Demo: Closed-Loop Sionna-Isaac Sim Co-Simulation Framework for Wireless-Aware Robot Navigation over ROS 2
A robot that offloads its control loop to the network carries the receiver with it, so link quality is decided by where it goes.