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 88
Barrier-Constrained Guidance For Real-time Asynchronous VLA Execution
While asynchronous execution enables VLA models to operate in real-time environments by predicting the next chunk during execution, it inevitably introduces boundary misalignment with the committed…Design and Evaluation of a Collaborative Teleoperation Interface for Multi-Operator Multi-Robot Systems in Challenging Environments
Multi-robot systems that combine the complementary capabilities of specialised platforms are critical for complex missions in challenging, inaccessible environments.Training-Free Multi-Agent Cooperative Embodied Search from Uncertain Vision-Language Priors
Real-world Vision-Language Navigation (VLN) requires agents to act under partial observability, where map structure, semantic cues, and target locations may be incomplete or incorrectly inferred by…Modeling and Control of a Rigid-soft Hybrid-link Humanoid Robot
Physical flexibility plays a significant role not only in human motions but also in robot motions.Targeting the Right Situations: Mutation Testing of Fuzzy-Powered Situation Hyperspace
Ensuring the safety of autonomous Unmanned Aerial Vehicles (UAVs) operating in underground mines is challenging due to the vast and uncertain Operational Design Domain (ODD).RootSLAM: Square Root Bundle Adjustment for Visual-Inertial SLAM
Efficient perception is a prerequisite for the small, low-power devices targeted by robotics, mixed reality, autonomous driving, and drone applications, all of which rely on Simultaneous…nanoflann: A Header-Only KD-Tree Library for Exact Nearest-Neighbor Search on Compile-Time Product Manifolds
Nearest-neighbor (NN) search underlies countless robotics algorithms, but many state spaces are not Euclidean: orientations live on $SO(2)$ or $SO(3)$ and poses on $SE(2)$ or $SE(3)$, and a…Persistent LLM Orchestration of Heterogeneous Robot Teams via Partial Delegation to Multi-Agent Protocols
Natural language specifications let non-expert users task robot teams, and large language models (LLMs) have recently proven effective at grounding such semantic specifications into plans for…Cubic Spline Interpolation for Smooth Trajectory Generation in Autonomous Motion Systems
We presented a program that automates the construction and solution of the cubic spline interpolation problem for a sequence of position-time waypoints, producing trajectories that are continuous in…VLMs are Native Action Models: Unleashing the Manipulation Capabilities of VLMs with Explicit Action-Space Grounding
Pretrained vision-language models (VLMs) already exhibit strong visual, spatial and reasoning capabilities relevant to robotic manipulation.Reinforcement Learning via Fixed-point Flow Matching
In maximum entropy and behavior-constrained reinforcement learning (RL), the optimal policy is given by a Boltzmann distribution.Evidence-Guided Counterfactual Learning for Long-Tailed Robotic Policies
In the practical deployment of vision--language--action policies, handling long-tailed task distributions is a common challenge due to the highly imbalanced composition of robot demonstration…TAME-Nav: Temporal Asymmetric Mixture-of-Experts Distillation for Agile and Versatile Robot Navigation
Agile and reliable navigation is a core capability for embodied robots navigating complex spatial constraints and dynamic interactions.LeapBot-JAC: Joint Action Chains for World Action Models
Action-chunking policies predict future controls but execute only a prefix before replanning.Sampling-based Kinodynamic Planning with World Models
Visual world models predict the consequences of actions from images, but planning with them is typically done by optimizers such as CEM and MPPI.Evo-World: A Lightweight Vision-Language-Action Model with Future Motion Prediction via Optical-Flow Supervision
Vision-language-action (VLA) models provide a unified framework for visual understanding, language grounding, and robot control, yet anticipating how the scene will evolve beyond the current…JoyInside-VLM-Agent: Product-Conditioned Multimodal Policy Learning for Embodied Agents
Embodied agents must translate multimodal observations and user requests into executable actions while adapting to product constraints, changing goals, and execution feedback.Adaptive Whole-Body MPC with Optimal Posture Planning for Humanoid Robots under Unknown Payloads
Humanoid robots performing lifting and material-handling tasks must maintain balance despite unknown and varying payloads.EgoReveal: Learning Active Vision and Object Manipulation under Partial Occlusions from Egocentric Demonstrations
Learning from Demonstrations (LfD) enables robots to learn object manipulation directly from human demonstrations.CeDR-Nav: Cross-Embodiment Mapless Navigation via Offline Demonstration Recasting
Learning-based methods have demonstrated strong performance in mapless robot navigation.