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 148
When Does Backpropagating Through Policy Memory Matter? Physical Credit, Optimizer Updates, and Observability
Policies with memory can learn along two backward paths: through the physical states their actions produce and through the representations they store.Dynamic Manipulation with World-Action Models via Counterfactual Planning
World-Action models (WAMs) trained on static demonstrations often fail to manipulate moving targets even when they possess the required manipulation skills.Multi-Terrain Mastery: A Comprehensive Controller for Bipedal Locomotion
Advancing bipedal robots to navigate diverse terrains remains a significant challenge in robotics.DeltaWAM: Change-Centric Visual Foresight via Delta Tokens for an Efficient World-Action Model
World-Action Models (WAMs) offer visual foresight for robotic manipulation, but pixel-space models repeatedly reconstruct entire future scenes, incurring high computational cost and spatio-temporal…When an Evaluation Rule Writes Training Labels: Measuring Human-Reference Forgiveness in NAVSIM
When the human reference scores zero on a metric, the released GTRS-Dense label generator for NAVSIM marks every candidate trajectory in the scene as passing it.FocusDrive: Reasoning with Visual Focus for Autonomous Driving
Driving decisions depend on both where to focus and how to act on what is seen.TAO-DA: Towards Autonomous Operation--A Dual-Arm Vision-Language-Action Model for Coordinated Manipulation
Vision-Language-Action (VLA) models provide a unified framework for grounding high-level semantic information into low-level robot actions, enabling scalable robotic manipulation across diverse tasks.Scope-WM: Scoped Computation for Efficient Visual World Models
Visual world models enable robotic planning by predicting future observations, but dense latent-state propagation and sample-intensive trajectory optimization incur high inference latency and peak…AevaScenes: An FMCW LiDAR Dataset and Benchmark for Long-Range Perception
FMCW LiDAR measures per-point radial Doppler velocity alongside range, providing a motion cue unavailable in conventional time-of-flight sensors.Learning with Object-centric Representations of Tactile Interactive Perception for Robot Manipulation
Implicit object properties that are difficult to directly infer from vision, such as material, container contents, or softness, can be revealed through tactile sensing and exploratory interactions.SurgFlow: 3D Object-Centric Contact Flow for Surgical Robot Manipulation
Paired video-action demonstrations enable autonomous surgical behavior, but such data is scarce: robots perform roughly 1% of surgeries, while video-only data is abundant.ActionGround: Training-Free Runtime Refinement of Frozen VLA Policies
Vision-Language-Action (VLA) models map visual observations and language instructions directly to robot actions, but they do not explicitly represent the phase structure of manipulation tasks or the…PORTER: Edge-Cloud Residency for Persistent 3D Scene Graph Memory
Recent task-driven and just-in-time 3D Scene Graph (3DSG) methods reduce per-task representations by constructing or activating only task-relevant information.VehDyn: A Driving World Model Benchmark for Vehicle Dynamics
Video world models are emerging as data engines, action planners, and generative simulators for autonomous driving, but existing benchmarks primarily assess visual fidelity and coarse physical…Q-WAM: 4-Bit Quantization of World Action Models with Action-Subspace Protection
World Action Models (WAMs) jointly generate video and robot actions through iterative diffusion and perform strongly in robotic manipulation.Feedback Makes Perfect: A Closed-Loop Framework for NL-to-STL Translation
Signal Temporal Logic (STL) enables rigorous verification and control of cyber-physical systems, but writing correct specifications requires expertise that most requirement holders lack.Informative Viewpoint Selection for Episodic-Memory Embodied Question Answering using Omnidirectional Images
Embodied Question Answering (EQA) requires agents to answer natural language questions about surrounding environments from visual observations.AquaWAM: A Dynamics-aware World Action Model for Underwater Embodied Agents
World Action Models (WAMs) are becoming increasingly important and useful for embodied intelligence, as they enable robots to anticipate the consequences of candidate actions before interacting with…CompliantWBC: Whole-Body Compliance for Heavy Humanoids via Force Latent Estimation and Residual Impedance Targets
Whole-body compliant control is essential for deploying heavy humanoids under high payload in human-centric environments.SocialHumanoid: Towards Expressive Humanoid Behavior via One-Step Co-Speech Motion Generation
Humanoid robots are increasingly expected to serve as embodied social agents that communicate naturally with humans through face-to-face interaction.