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 198
DITTO: Dexterous Interface for Transparent TeleOperation
Collecting data for manipulation with high-DOF hands is challenging, as interfaces must capture rich hand motion while rendering the contact interactions essential for precise manipulation.ULOHA: An Underwater Bimanual Robot System for Robot Learning
Underwater visuomotor policy learning has focused primarily on single manipulators, while bimanual imitation learning has been studied largely in air.REACT: A Fully Spiking State-Space Model for Real-Time Event-Driven Temporal Perception
Robotic systems operating in dynamic environments require visual perception that evolves continuously with the incoming sensory stream.4D Radar Perception Algorithms for Autonomous Driving: A Review
Research on 4D millimeter-wave radar perception algorithms has flourished in recent years, extending from signal processing and object detection to semantic segmentation, motion estimation…Grasping by interconnection: robust closing motions from coarse object templates
Dexterous robot hands must often grasp objects whose shape, size, and pose are known only approximately.Learning Safe Humanoid Navigation from Reduced Order Models
Research in humanoid robotics has achieved rapid progress in locomotion, and recent results have pushed the boundary on autonomous navigation.OHRID-Retail: An Open Multimodal Dataset of Human Activity in Retail Environments
Open datasets describing human behavior in environments shared with mobile robots remain limited, particularly for retail activities that combine locomotion, reaching, object handling, and robot…GAVEL: Graph World Models for Verified and Efficient Long-Horizon LLM Task Planning
Large language models (LLMs) provide a flexible interface for long-horizon robot planning, but generated plans often fail to respect embodiment constraints, recover from planning errors, or reason…A Morphing Aerial Robot With Thruster-Integrated Flexible Continuum Links for Shape Adaptive Aerial Manipulation
In recent years, aerial manipulation has attracted increasing attention as a key to expand the application of aerial robots.SemSafe-3DGS: Semantic Risk-Aware Active Navigation in Uncertain 3D Gaussian Splatting Maps
Autonomous robots operating in partially observed environments must navigate safely while acquiring observations that improve future planning.Dynamic-LIVO: A Dynamic-Aware LiDAR-Inertial-Visual Odometry System Using Spatio-Temporal Normals
This paper proposes Dynamic-LIVO, a dynamic-aware LiDAR-Inertial-Visual Odometry (LIVO) system for robust state estimation and static colored mapping in dynamic environments.ViLoMan: Learning Visual-Proprioceptive Whole-Body Loco-Manipulation Skills for Humanoid Robots
Humanoid loco-manipulation requires adaptive whole-body coordination to seamlessly integrate locomotion and physical interaction.Kinematics-Grounded Agentic AI for Robotic Additive Manufacturing Process Planning
Robotic additive manufacturing (AM) extends material-extrusion printing beyond gantry kinematics but makes process planning robot-dependent.Feasibility and Singularity in High-Order Safety-Critical Control for Quadrotor UAVs
We study high-order safety-critical control of quadrotor teams under bounded inputs and pairwise collision-avoidance constraints.Design and Experimental Validation of a 3D Printed Torsional Series Elastic Actuator for Safe Human Robot Interaction
Ensuring intrinsic safety in physical human robot interaction (pHRI) is a critical requirement for social and service robots.Enhancing the Perception of Safety and Comfort during Physical Human-Robot Handshake Interactions by Integrating Flexible Elements into a Robotic Arm
Safety and comfort in human-robot physical in-teractions are essential aspects in the development of social technologies, where natural gestures, such as handshakes, represent a challenge due to…Task-Oriented Active Learning of Residual Dynamics for Model Predictive Path Integral Control
Online residual learning can reduce model mismatch in predictive control, but passive data collection may fail to adequately cover states that become important later in the task.From Rollout to Reset: A Graph-Based Harness for Autonomous Long-Horizon Manipulation Evaluation
Robot manipulation policies are improving quickly, and real-robot evaluation remains the standard evidence for that progress.Predict Before You Deploy: Offline Prediction of Quantization-Induced Task Degradation for World Action Models
World action models (WAMs) rely on video-generation backbones, requiring substantial memory and compute for deployment.From Wizard-of-Oz Human-Robot Dialogue Collection to a Taxonomy of Robot Response Decisions: A Retrospective Analysis of Assistive Pilot Interactions
Robots that follow natural-language instructions in everyday indoor environments must act on incomplete human utterances.