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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DSReg: Provably Recovering Individual World Latents without Reconstruction
Methods that recover individual latent variables of the world, from nonlinear ICA to dictionary learning and causal representation learning, anchor the latents to observations through…TMT: Runtime Backdoor Detection for Vision-Language-Action Policies on Unseen Tasks
Backdoored vision-language-action (VLA) policies can preserve benign task performance while producing malicious actions when a trigger appears.Precise SE(3) End-Effector Tracking in Whole-Body Humanoid Control
Precise end-effector tracking during humanoid whole-body motion is challenging due to floating-base oscillations, gravity, dynamic coupling, and locomotion-induced disturbances.SiGNgapore - An Interactive Dataset for Sign-based Visual Navigation
The future of autonomous robots in human-oriented environments depends on their ability to leverage existing navigational aids embedded in these environments, such as navigational signs, to navigate…Sparse Feature Policy Unlearning Mitigates State Hallucination in Vision-Language-Action Models
Vision-Language-Action (VLA) models have shown strong generalization in robotic manipulation by leveraging rich representations from pretrained vision-language models.TERRA: Learning Transportable Latent Actions through Temporal Effect Representation and Relational Alignment
Latent actions supervise robot policies with action-like codes inferred from visual transitions, and their usefulness hinges on two questions: what a code keeps from a transition, and whether it…ActiveLang: Active Open-Vocabulary 3D Mapping with Semantic-Uncertainty-Guided Exploration
As robots increasingly assist humans with diverse tasks, they need both geometric and semantic understanding of their surroundings.Not All Uncertainty Matters: Simulation-in-the-Loop Fast-Slow Reasoning for Decision-Critical Autonomous Driving System
Large vision-language models (VLMs) provide powerful open-world perception and reasoning for autonomous driving, but their high computational cost and inference latency make continuous cloud-side…Contact-Aware Imitation Learning Through Contact Factorization
Generalizable contact-rich manipulation requires robots to preserve intended task behavior while adapting its physical realization to changing contact conditions.WAPR: A Foundation Model for Wide-Angle Refinement in Unseen Object Pose Estimation
Real-world applications require 6D pose estimation to be accurate, fast, and scalable to unseen objects.MagCilia: A Compact Magnetociliary Tactile Sensor with 3D Force Sensing for Robotic Contact Perception and Grasping Feedback
Robotic grasping and surface exploration benefit from simultaneous measurement of normal and tangential forces and from surface information obtained through contact.Targeted Modality Dropout for Real-Robot Manipulation Robust to Intermittent Vision Loss
Imitation learning policies that integrate multiple sensory modalities are prone to overreliance on a dominant modality, such as vision, during training, which can disrupt policy execution when that…Point It, Strike It: Direction-Conditioned Dynamic Manipulation of Deformable Linear Objects
Goal-conditioned dynamic manipulation of deformable linear objects has mainly specified goals as positions for a rope tip to reach.Adaptive Code Generation for Controlling Robots
Deploying robots as Complex Adaptive Systems (CAS) in unknown and dynamic environments necessitates a transition from rigid command libraries toward intention-based autonomy, as natural language…Learning Situation-Conditioned Thinking Policies for Long-Term LLM Agents
Long-running autonomous agents must reuse accumulated reasoning experience without allowing explicit historical memory and LLM context to grow indefinitely.Fast and Robust Teach-and-Repeat Navigation Using MixVPR Visual Place Recognition*
Teach-and-repeat navigation systems employing advanced visual place recognition techniques for localization exhibit key attributes for long-term mobile robot navigation, such as the ability to…Design optimization of tendon-driven robots considering tendon wrapping and shortcut
This study proposes a multi-objective optimization method for tendon-driven arm design, addressing the inherent trade-off between joint torque and arm thickness through tendon wrapping and shortcut…MeshSIPP: Efficient Lattice Planning in Dynamic Environment
Autonomous navigation in dynamic environments requires computing spatiotemporal trajectories that satisfy non-holonomic motion constraints.NAViLoss: An Underwater Navigation-Aware Dual-Residual Objective for Physics-Consistent Learning
Autonomous underwater vehicles (AUVs) commonly rely on inertial navigation systems (INS) aided by Doppler velocity logs (DVLs) for reliable underwater navigation.Do Better Visual Representations Always Lead to Better End-to-End Autonomous Driving?
Visual foundation models (VFMs) are increasingly integrated into end-to-end autonomous driving for their powerful representations, yet it remains unclear when these representations improve driving…