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 47
PRISM: Learning Realistic Depth via Physics-Grounded Noise Disentanglement with Semantic-Geometric Collaboration
Real-world physical sensing exhibits complex, heterogeneous noise patterns that deviate significantly from idealized simulation, posing a fundamental bottleneck for sim-to-real transfer.A2I-Calib++: A Kinematics-Driven Anti-noise Active Calibration Framework for Whole-Body Multi-IMU Systems on Legged Robots
Recently, multi-node inertial measurement unit (multi-IMU) systems have shown promise for robust odometry in legged robots.Distance Field Driven Reinforcement Learning for Reactive and Robust Collision Avoidance
Robust and reactive collision avoidance remains a central challenge for deploying Reinforcement Learning (RL) policies on real robotic manipulators, particularly when transferring behaviours learned…Linear Twisting Sidewinding Gaits for Twistable Snake Robot Motion Planning on Complex Terrains
Sidewinding is an efficient gait for snake robots to locomote on various terrains, by undulating the backbone curve and shifting the contact segments along it.Extending Affordance Segmentation for Wearable Robots to Multi-Object Images
This paper proposes a refinement to existing vision-based portable pipelines for the recognition of graspable object parts.S-Rolling: Steerable Rolling Gaits for Twistable Snake Robots in Low-Clearance Environments
Snake robots can traverse complex environments with limbless locomotion, but maneuvering in low-clearance environments remains challenging because a gait must maintain a small swept height while…Make it Walk: Computational Design of LEGO Walkers
LEGO walkers are walking automata constructed from modular LEGO Technic bricks.From VLM Planners to Robotic Agents: Self-Evolving Harnesses for History-Dependent Manipulation
Vision-language-action (VLA) models achieve strong performance across embodied manipulation tasks by unifying visual understanding, language conditioning, and action generation.Preserving Operator Intent Under Actuation Constraints: Teleoperation of Manipulators with Coupled Transmissions
Teleoperation enables intuitive control of remote engineering robots for precision tasks.Mixture of Flow Matching and Particle Filter for Proprioception-Based Online Contact Estimation
In this article, we propose ContactFlowFilter, a novel approach for contact estimation that determines the number of active contacts, their locations, and the associated force vectors.Joint-Angle Invariance of Jacobian-Based Performance Indices for Serial Robotic Manipulators
This article investigates the joint-angle invariance (JAI) of Jacobian-based performance indices for serial robotic manipulators.End-to-End Reinforcement Learning for Quadrupedal Jumping in Lunar Gravity
Legged robots can extend planetary exploration to rugged and discontinuous terrain that is inaccessible to conventional rovers.Watch Your Step: Anticipated Perception for Humanoid Locomotion
Perceptive locomotion policies typically observe a dense robot-centric elevation map, although only the terrain beneath and around the next footsteps informs the control decision.Reading the Room: Scale-ambiguous Semantic Registration of Sparse VSLAM Maps to Floor Plans in Partially Built Environments
Many robotic construction applications, such as progress tracking, require registering a sensor trajectory to a prior 2D floor plan.From Acceptance and Avoidance to Affective Viscosity: Designing Social Agents Intermediating in Human Relationships
As social agents become embedded in human relationships, they are expected not only to provide smooth assistance but also to handle rejection, discomfort, jealousy, persistence, and other forms of…DriveMLP: When Training Strategy Outperforms Model Complexity in Autonomous Driving
Learning motion planning policies that remain reliable under closed-loop execution is a central challenge in Autonomous Driving (AD).Toward Recursive Self-Improvement in Physical AI
Recursive self-improvement (RSI) describes a system that improves not only its behavior but also the process by which it improves.FlowVLA: Learning Flow-Aware Physical Completion for Quantitative Robotic Pouring
During steady pouring, images and robot pose may remain nearly unchanged while transferred mass accumulates, making the return decision ambiguous for a whole-task vision-language-action (VLA) policy.AirPlayground: Benchmarking Aerial Navigation across Diverse Reconstructed Environments
Large-scale aerial resources provide a foundation for learning navigation across diverse environments.CausGround: Causal Interaction Grounding for Adaptive Embodied Planning
Multimodal large language models (MLLMs) show promising reasoning capabilities, but reliable physical interaction requires planning that accounts for when actions are executable and how they change…