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 101
Lifelong small-object navigation in changing object layouts: a benchmark and method
Household robots need to continually navigate to different objects in the same environment, many of which are small and portable, such as tools and toys.Do Vision-Language-Action Models Understand Instructions? A Mechanistic Interpretability Study on Language Grounding
Vision-Language-Action models are designed to generalise across environments and task descriptions, raising the question of whether their action generation actually depends on the language…Design of a Fully Actuated 4-DOF Robotic Finger With Joint-Specific Hybrid Remote Actuation
This paper presents a fully actuated 4-DOF robotic finger using a joint-specific hybrid remote-actuation architecture.Benchmarking Behavioral Steerability in Behavior Foundation Models
Behavior Foundation Models (BFMs) are emerging as a paradigm for translating human intentions into executable humanoid behaviors.Video Prediction Policy 2: Predict Better, Act Better
World action models (WAMs) have emerged as an important class of generalist robot policies, aiming to transfer video prediction priors to action learning.Making Task Abstractions Executable: Control-Aware Layout Repair for a Fixed Controller
A task abstraction can specify the intended events while its spatial layout prevents a fixed agent and controller from completing them.Temporal Visuo-Tactile Learning for Dexterous Grasp Stability
Humans can grasp everyday objects with almost perfect success rates using fingertip tactile feedback, yet much of the robotic grasping literature emphasizes vision-based grasp selection with…Energy-Efficient Gait Adaptation via Hierarchical Reinforcement Learning for Quadrupedal Locomotion Across Diverse Terrains
While energy efficiency is a critical objective for legged-robot locomotion control, achieving low energy consumption while maintaining robust performance across different velocity ranges and…Hall Effect-Based Tactile Force Detection Sensor for Robot-Assisted Minimally Invasive Surgery
Robotic minimally invasive surgery has revolutionized surgical practice.MultiFly: A Real-World Multimodal Aerial Dataset with Annotation-Efficient Label Transfer and Cross-Modal Semantic Consistency
We introduce MultiFly, a real-world, low-altitude UAV dataset for semantic perception across RGB, thermal, LiDAR, and radar modalities.Temporally Interpretable Differentiable Decision Trees
Interpretability offers a solution to safe autonomy by providing transparency into an agent's underlying decision-making model.Semantic-Aware Predictive Mapping for Exploration and Navigation
Predictive mapping can support robotic exploration and navigation by estimating unseen geometric layouts from partial occupancy observations.OpenViTac: Learning and Benchmarking Visuo-Tactile Policies in a Unified Sim-and-Real Framework
Tactile feedback provides embodied agents with physical information beyond visual observations, enabling more reliable interaction with the real world.NeRFifyMesh: Optimizing Neural Radiance Fields from Textured Meshes for Robotics Scene Building
In robotics, scene representation plays a pivotal role in understanding and interacting with the environment.RoboQuest: Generalist Physical Agents that Search, Inspect and Test
Recent advances in multimodal foundation models have made them capable generalist physical agents for a range of manipulation tasks.Rubix: Global Correspondence-Free Point Set Alignment through Assignment Geometry
Procrustes-Wasserstein alignment jointly estimates a matching and rotation without supplied correspondences, but alternating minimization can stop at suboptimal solutions.RobotWorld: Benchmarking Multimodal Agents for Robot Use Across Diverse Tasks and Embodiments
General-purpose agents increasingly write code, use tools, and complete complex digital tasks, raising the question of how far these capabilities carry into the physical world.AirGroundVLN: A Large-Scale Benchmark for Goal-Oriented Air-Ground Collaborative Vision-and-Language Navigation
Goal-oriented Vision-and-Language Navigation (VLN) requires agents to locate and reach targets described in natural language without prescribed routes.Q-Learning with Scalar Adjoint Matching
Flow policies capture rich and diverse action distributions, and fine-tuning them with off-policy RL to improve beyond the demonstrations has drawn growing interest.ECHO: Embodied Camera Observations of Human Object Carrying
Embodied and assistive agents must do more than recognize objects: they must reason about where an object belongs given the layout of an environment and the habits of the people who live in it.