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 107
Feeling Through the Load: Compliant Quadruped Locomotion under Payload Interactions
Quadruped robots are increasingly expected to carry objects while moving through human environments.RIWANav: Recursive World-Action Models with Self-Improvement for Urban Navigation
Long-horizon urban navigation requires sequential local decisions whose errors can compound over time.HygieneRoboBench: Benchmarking Hygiene-Aware Planning for Household Robots
Contact with contaminated objects can spread hazards through a household robot's grippers, tools, and shared surfaces, while new contacts can make an existing plan unsafe.Fast Non-Parametric Heteroscedastic Imitation Learning With Geometric Priors
When learning probabilistic policies from human demonstrations, data-efficient learning and fast adaptations to new scenarios are key requirements.Magnet-Aware Control of Legged Robots
Autonomous robots can increase uptime and reduce human exposure in Big Science facilities, but strong magnetic fields needed for their operation corrupt sensors and induce pose-dependent mechanical…NMPP: Nonlinear Model Predictive Planning for Agile UAV Flight in Cluttered Environments
Flying a quadrotor through a cluttered environment requires not only planning a collision-free reference trajectory based on perceived obstacles, but the reference also needs to be dynamically…EgoLAP: Learning from Egocentric Human Data through Language-Action Reasoning
Egocentric human data offer a path to scaling robot learning beyond costly robot demonstrations, yet the embodiment gap makes raw human trajectories a poor supervisory target for control.Towards an Extensible Benchmark for Spoken Dialogue with Social Robots
Language models provide a plug-and-play interface between humans and robots, but important challenges remain when speech, dialogue, fast interaction, and collaboration are required.PhoneBot: A Low-Cost Open Humanoid Robot Platform Reusing Smartphones
The adoption of humanoid robots in education and research remains limited by high hardware costs, complex sensing systems, and substantial computational requirements.VeriFine: Scaling Verification for Self-Improvement in Embodied Reasoning
Self-improving policies continually expose new failure patterns, changing what their judges must be able to verify.LBA-CBF: Rapidly Adaptive Safety Filters via Parallel Dynamics Inference
Control barrier functions (CBFs) certify commands through an assumed dynamics model, so an abrupt, unmeasured regime change can undermine the certificate exactly when safety matters most.Mission-Aware Attestation Envelopes for Time-Critical Autonomous Action: A Hardware-in-the-Loop V2I Study
An autonomous system that asks for a privileged physical action is usually gated on integrity evidence: a platform proves what it is running, and the request is granted or refused on that basis.DepthWorld: 3D World Model for Robot Manipulation
World models offer a data-driven alternative to traditional simulators for robotics, with applications spanning policy evaluation, improvement, and planning.PEARS: Physical-Prior-Guided Efficient Adaptation via Failure Reasoning and Diffusion Steering for Tactile Manipulation
Pretrained robotic policies can suffer substantial performance degradation under out-of-distribution (OOD) conditions encountered during deployment, motivating post-training through real-world…QF3: Fast Flow RL with Filtered Q-Gradients
Flow policies have become a standard policy class for learning robot behaviors from demonstrations, but reinforcement learning is still critical for improving pre-trained flow policies or learning…From Wearable Interfaces to Dexterous Policies: Contact Shifts and Tactile Representations
Unlike conventional teleoperation, wearable interfaces allow operators to collect dexterous demonstrations through their own hand motions while directly interacting with task objects.Toward Evidence-Driven Human-Agent-Robot Teaming for Earth-Independent Anomaly Triage
Deep-space crews cannot rely on real-time ground support for urgent off-nominal events.HULK: Learning Whole-Body Forceful Loco-Manipulation for Humanoids
Humanoid loco-manipulation of large, heavy objects demands forceful interaction across the entire body.FlightMagNav: An Open Dataset and Probabilistic Map Learning and Validation Framework for Outdoor Magnetic Field-Based Positioning
Magnetic field-based positioning is a resilient positioning technology that requires no external infrastructure and is hard to jam at scale.LASER: Latent Space Adjoint Matching for Support-Constrained Entropy-Regularized Offline RL
While offline reinforcement learning (RL) enables policy optimization from static datasets without costly online interaction, it remains bottlenecked by the risk of executing out-of-distribution…