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 87
C2Flight: A Closed-Loop Co-Simulation Framework for Early-Stage Evaluation of Heterogeneous UAV Computing Systems
Early-stage design of heterogeneous UAV computing systems requires evaluating how algorithm, hardware, communication, and system topology affect closed-loop flight before the complete system is…CAG-WAM: Causal Action-Gain World Action Models for Robot Manipulation
World Action Models (WAMs) combine action generation with future prediction, allowing predicted futures to support action evaluation and robot decision making.B-Human '26 - Scalable Team Play up to 11 vs. 11
B-Human won multiple competitions in the Middle Division of the new Humanoid Soccer League in 2026.BridgeWAM: Bridging Video and Action Experts via Latent Bridge Queries
World Action Models (WAMs) commonly couple video and action experts through dense, layer-wise Mixture-of-Transformers (MoT) attention, exposing action prediction to irrelevant visual features while…Beyond Fixed Visual History: Learning Motion-Adaptive Temporal Receptive Fields for Complex-Terrain Quadruped Locomotion
Versatile quadruped locomotion depends on a tight coupling between what the robot perceives and what its body can execute.YOUDrive: Driving Style as a Composable Direction for End-to-End Autonomous Driving
End-to-end driving policies can achieve strong task performance while offering limited control over their driving style.Scaling Latent Motor Adaptation to Coordinated Bimanual Manipulation
Robust manipulation under uncertain object dynamics and geometry remains a core challenge in real-world robotics.Push the Limit: Learning High-Speed Sprinting and Aggressive Cornering on a Full-Scale Humanoid
We present a learning-based framework that enables a full-scale bipedal humanoid to sprint at over 7 m/s with motion-prior-guided gait and perform aggressive cornering at high speed with a…Learning Dynamic Grasping
Synthesizing believable 4D hand-object grasping sequences is important for character animation, extended reality, and embodied agents.DEFT-VLA: Stage-Localized Force Specialization for Contact-Rich Robotic Manipulation
Contact-rich manipulation poses a stage-dependent sensory conflict: vision and proprioception are essential for localization and approach, when force is largely uninformative and potentially…Predict in Chunks, Revise in Spans: History-conditioned Action Regeneration for Robotic Manipulation
Action chunking improves temporal coherence in visuomotor imitation learning by jointly predicting sequences of future actions.Verify, Act, Distill: Turning Test-Time Compute into Test-Time Adaptation for Vision-Language-Action Models
Test-time compute (TTC), which scores multiple candidate actions at inference time, is a powerful way to improve the execution performance of vision-language-action (VLA) models, but existing…LETS: Low-Overhead External-Torque Sensing for Force-Feedback Bilateral Teleoperation
Bilateral teleoperation with force feedback is becoming increasingly important, and the quality of external-torque estimation is critical to this process.Test-Time Compute for Humanoid Behavior Foundation Models
Humanoid Behavior Foundation Models (BFMs) can execute impressive motions, but downstream applications such as loco-manipulation demand high whole-body positional accuracy.Scalable Multi-Human Cooperative Manipulation via Commander-Executor Coordination
Multi-human cooperative object manipulation is a highly challenging topic in humanoid control.Funnel planning and control for manipulators using neural Signed Configuration Distance Functions
Robust motion planning and control for manipulators is the problem of guaranteeing safe execution and collision-free motion under disturbances.Edge-Native Temporal--Graph Dual-Expert Inference for Dexterous Grasp Classification
Multi-finger hands contact objects at different times, so a global close command can overload early-contact fingers while others are still moving.CFG-Policy: Unified Diffusion Policy Learning Framework via Classifier-free Guidance
Diffusion policies are increasingly used in robotic control and manipulation, vision-language-action models, and world-model-based agents.FoundationVIO: Enforcing Metric Scale in Feed-forward Visual-Inertial Odometry
Feed-forward geometric foundation models (GFMs) directly predict dense geometry and camera poses from batches of images.EnactOpt: Diagnosis-Guided Harness Evolution for Embodied Agents
Embodied agents built on foundation models rely on an execution harness to organize observations, guide actions, and incorporate execution feedback into subsequent decisions.