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.
Get the few papers worth your time in Robotics every morning.
Follow Robotics and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 12
ReGATE: Recurrent Gated Visual Fusion for Reactive Humanoid-Object Interaction
Humanoid loco-manipulation requires coordinating object acquisition, transport, and release from onboard sensing while responding to user commands and incomplete visual observations.Design and Experimental Validation of the Separation and Deployment System for the CHERI Lunar Micro-Rovers
Reliable separation mechanisms are critical for planetary micro-rovers, which must withstand launch vibrations and then eject the vehicle clear of the lander.AnchorHEC: Targetless Hand-Eye Calibration of Wrist and Fixed Cameras
Recent robot systems combine wrist and fixed cameras, requiring camera-to-robot transforms for both.Gibbs Variational Last Layers for Long-Horizon Dynamics Learning
Accurate long-horizon probabilistic predictions of dynamical systems are a prerequisite for model-based decision-making.An intelligent satellite must do nothing well
Autonomous inspection of a resident space object is usually posed as a contest between classical next-best-view planning and reinforcement learning.PointPilot: Unified Robotic Manipulation via Object-Centric 3D Point Flow Prediction
Generalization remains a central challenge in robotics, calling for policies that address domain variations from multiple dimensions such as diverse embodiments, camera poses, and/or scene layouts.RESONATE: a Real Social Navigation Testbed for Autonomous Service Robots
Social navigation is essential for autonomous service robots operating in human environments, but progress remains constrained by the lack of extensive real-world benchmarks.Positive Safety Margins from Artificial Potential Field Reward Augmentation for Size-Robust Obstacle Avoidance under Partial Observability
Collision-free reaching is central to manipulation, yet real cells often leave the size and exact position of an obstacle unobserved, which excludes reinforcement learning controllers that take…ReContact: Reconstruct and Retarget Human Contacts from Video for Contact-Rich Humanoid Manipulation
Contact transitions allow humanoid robots to redistribute object support across the whole body, enabling manipulation beyond hand-only grasps.MS-DOTT: A Multi-Modal Dataset for Off-Road Traversability Estimation
Autonomous robots are gaining traction in off-road environments, driven by their rising demand in agriculture, defense, and search-and-rescue operations.SyncHeC: Markerless Spatio-Temporal Hand-Eye Calibration via Differentiable Rendering and Continuous-Time Joint Optimization
Markerless hand-eye calibration under continuous motion requires jointly resolving camera geometry and the time offset between images and joint states.Swarm Choreography Made Simple: Superposed Guiding Vector Fields for Rigid Formation Path Following
This paper presents a decentralized guiding vector field framework for rigid formation path following in multi- UAV systems based on the superposition of simple rule-driven vector fields.BeyondContact: A Reinforcement Learning Framework for Airflow-Based Non-Contact Manipulation
Contact-based robotic manipulation is constrained by end-effector reachability and the mechanical properties of objects.PlanContext: Benchmarking In-Context Driving Decision-Making
Real-world driving requires context-aware decision-making.KlaskTron-IL: A Contact-Rich Adversarial Imitation Learning Benchmark with a Validated Sim-to-Real Bridge
KlaskTron is an open-hardware physical platform for two-player adversarial reinforcement learning, with a learned actuator model that supports zero-shot sim-to-real transfer of trained policies.VLALagBench: Understanding When and Why VLA Inference Latency Matters
Vision-language-action (VLA) models offer a promising path toward general-purpose robot manipulation.A Tightly Coupled Magnetic-Inertial SLAM System for Field Robots
Field robots operating in mines, tunnels, and disaster areas require reliable localization despite GNSS denial and degraded camera and LiDAR measurements caused by dust, smoke, or poor illumination.KlaskTron: An Open-Source Platform for Physical Adversarial Multi-Agent RL
Progress in robot learning, particularly physical multi-agent reinforcement learning (MARL), is currently challenged by a limited availability of accessible, standardized benchmarks.FineCraft: Enhancing VLA Models for Fine-Grained Manipulation
Fine-grained manipulation couples instruction grounding, local visual precision, and sustained execution.Rollout then Recycle: 3,718 Labelled Real-Robot Episodes from Benchmarking 7 Policies on 12 Tasks
We release all 3,718 episodes from the ArmnetBench v0.1 evaluation (arXiv:2607.24481), which contains 600 teleoperated demonstrations and 3,118 rollouts of seven imitation-learning and…