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 207
BIG-CBF: Behavior-Imagination-Guided Control Barrier Function with Shared Uncertainty for Mobile Robot Navigation
Control barrier functions (CBFs) provide a mathematically grounded framework for enforcing local collision-avoidance constraints in autonomous mobile robots, commonly through optimization-based…Orientation Control of Soft Robots via Adiabatic Spectral Submanifolds
Soft robots are commonly sought for safety-critical interactions in delicate environments, where accurate position and orientation control is imperative.Learning-Based Dynamic Obstacle Avoidance for a UAV Using Only Three Range Sensors
We present a learning-based approach to kinodynamic online motion planning for an Unmanned Aerial Vehicle (UAV) operating at a fixed altitude in unknown dynamic environments, where real-time…EMoG: Emotion-Modulated Gait Generation for Expressive Humanoid Locomotion
Existing humanoid locomotion systems primarily focus on stability and task execution, while integrating expressiveness with explicit locomotion control remains challenging.EcoBoat: Design and Experimental Validation of an Autonomous Body-Board Boat For Cleaning Water Bodies
Cleaning water bodies such as swimming pools and lakes typically demands significant manual effort or reliance on costly, sensor-intensive robotic systems.DynEoMT: Learning Object Dynamicity from Online Segmentation Queries
Video segmentation models recognize and track objects over time, but they do not indicate whether each segmented region moves independently of the observing camera.Fault Diagnosis for Underwater Vehicles using Moving Horizon Estimation and Gaussian Processes
This work proposes a model-based fault detection and diagnosis framework for underwater vehicles subject to actuator faults that explicitly accounts for the presence of unmodeled dynamics.NavPatch: Evidence-Guided Object-Level Costmap Correction with Vision-Language Models
Mobile robots typically rely on geometric maps for obstacle avoidance and path planning, but the resulting obstacle representation does not always match how an object should affect navigation.Language-Grounded Semantic Target Navigation for Autonomous Surface Vehicles
Autonomous Surface Vehicles (ASVs) are increasingly expected to operate in ports and harbour environments, where operators may specify navigation targets through language-based descriptions rather…GLAM: Training a latent world model over global spatiotemporal memory for active exploration and navigation
Active exploration and semantic navigation require an embodied agent to build memory from partial observations, predict how the evolution of observed spatial memory may support future motion, and…Learning Multi-Agent Task Assignment and Navigation in the Factory: from Simulation to Real Robots
Reinforcement learning (RL) has shown considerable promise for robotic decision-making, yet deploying multi-agent RL (MARL) on physical multi-robot systems in industrial environments remains…Robotic Servo Tracking of Moving Targets with Dynamic Imitation Constraints
Imposing explicit trajectory constraints in robot visual servoing remains challenging.REVOLVE: An Automated Closed-Loop Framework for Evolving Robot Manipulation with Minimal Human Intervention
Recent advances in data-driven robot manipulation policies have substantially improved task execution and generalization.Diffusion-Based Generation of Gait Trajectories
Generation of musculoskeletal gait trajectories conditioned on patient-specific parameters remains a key challenge for wearable robotics and rehabilitation.Skill Composition for Legged Robot Reinforcement Learning
Robots, and humanoid robots in particular, are increasingly competent at individual behaviors, each obtained by training a specialized controller.A Novel Robot-Assisted Learning Pedagogy for Children with ASD
Interaction paradigms used in robot-assisted autism intervention have historically employed robots as teachers, clinical assistants, or more-abled peers to promote a variety of social skills.Beyond Dead Reckoning: A Point of View on Camera--DAS--GNSS Continuity in Road Tunnels
Road tunnels remove satellite visibility where connected and automated vehicles still require continuous, attributable, and integrity-bounded positioning.An Adaptive Fixed-Time Line-of-Sight Guidance Scheme for 3D Path Following of Underwater Vehicles: Theory and Experiment
Reliable path tracking is crucial for autonomous underwater vehicles (AUVs) operating in dynamic and uncertain marine environments.A Personalized Dynamic Balance Evaluation Paradigm for Hip Exoskeleton-Assisted Walking under Unexpected Ground Perturbations
Hip exoskeletons may improve recovery from unexpected gait perturbations, yet personalizing assistance remains difficult because balance is multidimensional and human-in-the-loop experiments are…Language-Guided Representation Learning for Robust Cross-Sensor Material Recognition
Robots need touch to manipulate objects safely and reliably, as many properties, such as softness, texture, and contact stability, are hard to infer from vision alone.