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 116
Neural Barriers: An Online Certifiable Learning-enhanced Adaptive High Order Safety Critical Control
Control barrier functions are an effective model-based tool to formally certify the safety of a system.GR-LIO: A Local Ground-Aware LiDAR-Inertial Odometry System Using Body-to-Ground Height
LiDAR-inertial odometry (LIO) is widely used for state estimation in ground-based autonomous mobile robots.Scenario-Based Compositional Statistical Model Checking for Safety Specifications
In safety-critical domains such as autonomous driving, systems must be evaluated across a large number of environment conditions, often represented as composite scenarios built from primitive…TacGELLO: Tactile Contact Feedback for a 3D-Printed Teleoperation Leader
Passive leader arms transmit an operator's motion without returning remote contact or load cues.Building A Multi-Sensor Platform For Autonomous Driving Research: Challenges and Lessons Learned
This paper reports on the challenges encountered and lessons learned during the development and deployment of a flexible multi-sensor platform for autonomous driving research.Emergency Obstacle Avoidance Maneuvers in Differential-Drive Mobile Robots
Emergency obstacle avoidance requires a mobile robot to brake or change its heading within the available distance.Hierarchy-GBP: Accelerating Factor Graph Inference via Abstraction and Recovery
Gaussian Belief Propagation (GBP) is a distributed inference algorithm that passes messages in graphical models, making it attractive for scalable spatial intelligence.ProactiveVLA: Augmenting Embodied Memory through Proactive Environment Exploration
Rapid adaptation to a new environment requires a robot to acquire useful knowledge about local objects, states, and interactions from limited experience.LEAP: Making Privileged Geometry Supervision Effective for Visuomotor Learning
Privileged 3D supervision uses additional geometric information during training to guide RGB-based visuomotor policy learning, without requiring geometric inputs at deployment.Educating future engineers about LLMs: A scalable workshop
As large language models (LLMs) are increasingly integrated into engineering workflows, students require hands-on experience to learn how to collaborate with them critically.Autoware in Construction: Gap Analysis and LiDAR Perception Toward Off-Road Autonomous Driving
Autoware is an open-source autonomous driving software platform widely adopted by researchers and industry developers.CurveCodec 2: Skeleton-agnostic animation compression with a learned entropy model
Skeletal motion is stored as every joint's transform at every frame, yet most of it is implied by the body rather than by what the motion is about.Bi-manual Stabilization of the Cervical Spine for Safe Physical Human-Robot Interaction in Rolling Maneuvers
The neck, specifically the cervical spine, is a highly fragile and mobile part of the body with a high risk of catastrophic injury.Continual Humanoid Motion Learning
Humanoid whole-body controllers can now track a diverse set of dynamic motions, but they are typically trained offline and then frozen, so teaching such a controller a new skill tends to erode the…Humanoid Rickshaw Pulling: Whole-Body Locomotion under Coupled Wheeled Loads
Humanoid robots could transport payloads substantially heavier than themselves by pulling passive wheeled vehicles instead of carrying the load.Attention-Based Surface Representation Learning for Robot State Prediction and Open-Ended Surface Classification
For ground robots operating in outdoor environments, understanding the properties of the underlying terrain is essential for ensuring reliable operation.ROOT: Discovering Rewards for User-Specified Embodied Behaviors
Reinforcement learning for embodied control remains constrained by the difficulty of reward specification.Grounded in Time: A Multi-Source Dataset and Benchmark for Temporal Grounding in Robotic Manipulation
Robotic manipulation often requires inferring task-relevant states from past interactions when the current observation alone is insufficient to determine the appropriate action.Real-Time Conformal-Seeded Hybrid Inverse Kinematics for Offset Redundant Manipulators
This paper presents a conformal-seeded hybrid strategy for solving inverse kinematics of offset, redundant 7-DoF robot arms of the humanoid class.Latent Safety Filters: When a Lossy Encoder Admits a Transferable Certificate
Latent safety filters certify safety on a learned low-dimensional representation of the state, enabling constraints that resist analytic description.