Applied & Human-Centered · Computer Science & AI
Robotics
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4,418 papers, from 4 September 2026 to 5 November 2026: 4,418 arXiv preprints.
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Newest papers, page 134
TRACE: Privacy-Preserving Next-Best-View Selection over Distributed 3D Gaussian-Splat Maps
Share the light, not the map.Reactive Humanoid Multi-Contact Using Learned Stability Models
We present a planning and control approach to reactively use hand contacts to stabilize a humanoid in low stability scenarios, where only using feet contacts may result in a fall.Toward Controlling Biology with Language:Offline Learning of Prompt-Conditioned Interventions for Cells, Organoids, and Biobots
Artificial intelligence increasingly serves as a natural-language interface to complex technical systems, letting people accomplish sophisticated tasks by describing what they want rather than…One from Infinity: Actualizing Futures from Pretrained World Models into Robot Actions
A pretrained video world model admits many plausible futures for a scene, but a robot must realize the exact task-conditioned one.FineART: Fine-Grained Annotated Robotic Trajectory Dataset and Vision-Language-Action Model for Bimanual Manipulation
Robots operating in real-world environments must often execute complex, multi-step bimanual tasks over long horizons rather than single, isolated actions.Losing the name before the box: measuring and repairing what narrow fine-tuning costs a detector outside its deployment vocabulary
A detector pretrained on a broad corpus is fine-tuned on a narrow domain, its in-domain accuracy improves, and it ships.World4Scorer: Outcome-Grounded World Modeling for Autonomous Driving
Autonomous driving requires choosing a safe and efficient plan as surrounding traffic evolves.Staircase Policy: Streaming Inference for World-Action Models with Large Action Chunks
World-Action Models (WAMs) improve robotic manipulation by conditioning action generation on predicted future observations, but future prediction adds further inference overhead to already expensive…DQ-MPCC: Dual-Quaternion MPCC for Quadrotor Racing
Quadrotor racing demands aggressive attitude and progress control while passing through every gate, and conventional quadrotor MPCC formulations state the prediction model in inertial coordinates…Closed-Form Cartesian Forward Kinetostatics for Spatial Multi-Segment Tendon-Driven Continuum Robots
Forward kinetostatics of spatial tendon-driven continuum robots typically requires a nonlinear equilibrium solve for each actuation input.LIBERO-MAX: Do Robot Policies Adapt When the World Changes?
Robots must often continue a task after a target moves, the viewpoint shifts, or an obstacle appears, even though their earlier observations and committed actions reflect the previous scene.Distilling Privileged Control Barrier Functions into RGB-Only Safety Filters for Dynamic Visual Navigation
RGB-only end-to-end visual navigation policies remain vulnerable to collisions in real-world dynamic environments, motivating a dedicated safety layer.Trajectory-Level Mode Guidance for Controllable Diffusion-Based Multi-Robot Motion Planning
Motion planning often admits multiple feasible solutions, making multimodal generation valuable, particularly for flexible multi-robot coordination.Asymmetric Scout-Worker Reconnaissance for Route Validation in Unknown Environments
This paper studies asymmetric scout-worker reconnaissance in unknown environments, where a small, agile autonomous scout explores routes for a larger worker robot that must visit an ordered sequence…Reactive Real-Time Flow Policies via Asynchronous Distribution Alignment
Generalist robot policies such as vision-language-action models (VLAs) have achieved remarkable generalization, but their inference delays can conflict with the demands of real-time control.Planning Oriented 3D Scene Completion via Coupled TUDF Occupancy Representation Learning from Partial Observations
Partial observability remains a fundamental challenge in robotic navigation, where limited sensor coverage and occlusions leave large portions of the environment unobserved.Learning to Explore Hidden Kinematics for Articulated Object Manipulation
The kinematics of an articulated object is often ambiguous from vision alone.A robust single-sensing-element tactile sensor for concurrent pressure and tackiness detection with real-time signal decoupling capability
Integrating tackiness sensation into the artificial skin of humanoid robots significantly enhances their cognitive and operational capabilities.Riemannian Splat Regression Models for Learning Time Fields on Arbitrary Riemannian Manifolds
Motion planning on arbitrary Riemannian manifolds is an important and difficult problem that frustrates typical planning methods for Euclidean spaces.EquivDP3: A SIM(3)-Invariant Point-Cloud Encoder for Data-Efficient Humanoid Loco-Manipulation
Visuomotor policies for humanoid loco-manipulation must generalize across object poses and lighting from only a handful of demonstrations.