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 214
Multi-Objective Agent-Based Model Predictive Controller for Plug-and-Play Vehicle Control
Functional integration is a growing trend in vehicle control, often involving the coordination of multiple controllers to achieve various objectives simultaneously.A Data-Driven Distributed Control Scheme: Learning Multi-Objective Agent-Based MPC for Path-Tracking
Agent-based model predictive control (AMPC) has recently been proposed for vehicle systems with various controllers, such as differential braking and torque vectoring, where controllers are regarded…A Physics-Based Closed-Loop Robotic Bioprinting Framework Towards Volumetric Muscle Loss Treatment
Robotic bioprinting and Direct Ink Writing (DIW) are being explored towards the treatment of Volumetric Muscle Loss (VML).Battery-Aware Predictive Trajectory Planning and Control for Multirotors Under Disturbances
This paper presents a battery-aware predictive trajectory-planning and control framework for multirotors operating under spatially localized disturbances.An Automated Thickness Evaluation Procedure Using an Integrated Structured Light 3D Camera in a Robotic Bioprinting Framework
Bioprinting is emerging as a tissue engineering technique to replace common treatment methods for large scale injuries.Guardrailed Meta-Agent Loops: Stress-Testing Policy Pinning, Budget Bounds, and Crash Recovery
Self-improving agent workflows create an audit problem when the same controller can change both its behavior and the conditions under which that behavior is judged.Chain-SLAM: Globally Consistent Backend for Multi-Session LiDAR SLAM via Chained Loop Closure
Maintaining consistency over long spatial and temporal horizons remains a fundamental challenge in large-scale LiDAR SLAM, particularly when integrating maps collected across multiple sessions.DIA: Denoising Intermediate Advantage for Diffusion Policy Optimization
Diffusion-based robot policies have become widely used in robotic manipulation, where they are typically trained with behavior cloning.Trajectory Bundle Method in SE(3) for Black-Box Fixed-Wing Aircraft Trajectory Optimization
Dynamically feasible trajectory optimization for rigid-body systems is naturally formulated on the special Euclidean group SE(3) but is challenging when dynamics are available only as black-box…Pneumatic neurons for soft robots enable inflate-and-fire networks for rhythmic motion
Animals coordinate their movements through distributed neural circuits, but soft robots still typically depend on external, centralized electronics for control.Amortized Low-Rank Adaptation for Model-Based Reinforcement Learning
World models let agents plan by predicting the consequences of their actions, but changes in the environment can make them inaccurate.AnchorVLN: Geometry-Anchored Vision-Language Grounding Reasoning for Open-Vocabulary Navigation
Vision-Language Navigation (VLN) in unseen indoor environments is useful in real-world robotics, where an agent must follow natural-language instructions, locate objects, and answer spatial…Mission Performance: Automatic and Adaptive Race Pace Progression for Autonomous Racing
In this paper, we describe the Mission Performance module implemented for a fully autonomous racing car to automatically manage the longitudinal, lateral, and combined performances, aiming to…IMM-based Multiple Object Tracking using a State Prediction Neural Network
Object tracking is essential for autonomous vehicles to avoid obstacles and plan routes.GroundBench: A Factorized, Counterfactual Benchmark for Locating VLM Affordance Failures
A companion evaluation found that naming the target part in a manipulation prompt increased action accuracy by 0.32-0.63 across eight vision-language models, with no model outperforming a constant…Attention-DP3: Spatially Object-aware 3D Diffusion Policy via Geometry-aligned Attentional Conditioning
3D point-cloud observations are inherently ambiguous in complex, cluttered manipulation scenes, where target objects may be partially occluded or tightly intermingled with visually similar…Compact Visuotactile World Models for Lifting: Prediction, Reward Alignment, and Force Constraints
Accurate tactile forecasts need not improve force-constrained control.MuJoCable: Reduced-Order Surface-Routed Cable Transmission for Tendon-Driven Robots
Tendon transmissions reduce distal inertia and add compliance, yet routing, slack, and friction govern motion and force transfer.JEPA Policy: Diffusion-Free Imitation Learning via Paired Action and Future Representation Prediction
Standard behavior cloning supervises actions without explicitly constraining the future representation paired with each demonstrated action chunk.A Risk-Sensitive and Uncertainty-Aware Decision-Making and Control Framework for Safe and Robust Autonomous Driving
Reinforcement learning (RL) has demonstrated considerable potential for autonomous driving decision-making.