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 154
HIRE: History-Conditioned Interaction Reasoning and High-Rate Execution for Visually Aliased Precision Manipulation
Precision manipulation with contact-critical interactions is often history-dependent: visually similar observations can correspond to different latent interaction states and therefore require…Fast Plans, Faithful Actions: Closing the Planning-Execution Gap in Hierarchical Vision-Language-Action Models
Hierarchical vision-language-action (VLA) systems consist of a high-level vision-language planner and a low-level action expert that generates continuous actions.Impedance Cloning: Learning Equilibrium Point Parameters for Contact-Rich Manipulation
Contact-rich manipulation requires robots to regulate force against surfaces whose geometry deviates unpredictably from training conditions.VLaRL: Augmenting Vision-Language-Action Models with Simulation-Trained Latent-Conditioned Residual RL
Vision-language-action (VLA) models provide broad, instruction-conditioned manipulation behaviors, but their physical execution can remain imprecise during contact-rich interaction.A Second Torque Port for Series Elastic Actuators: Parallel-Integrated Design and Time-Scale Torque Allocation
A series elastic actuator has a single torque port and pays for it twice: the geared motor must swing its own reflected inertia through the spring, so the amplitude it delivers collapses as $ω^{-2}$…PHASE: Compliance-Enabled Tactile Phase Retrieval for Few-Shot Insertion Learning
Contact-rich assembly tasks such as peg-in-hole insertion remain difficult to learn from limited demonstrations.Causeway: Restoring Task Accessibility for Instruction Switching in VLA Policies
Vision-language-action (VLA) policies can execute many tasks from standard initial states, yet a new instruction may fail after another task has altered the robot's physical state.Bundled Contact Gradients: Stabilizing Differentiable Simulation for Deployable Dynamic Tasks
Differentiable simulation provides analytic gradients of robot dynamics, enabling fast and sample-efficient first-order policy optimization.VisTacAlign: Co-Training Dexterous Policies on Tactile Human and Robot Demonstrations
Human demonstrations are a cheap source of data for dexterous manipulation, but co-training a robot policy on them requires closing the human--robot gap in every modality the policy consumes.FRAM: Trajectory-Guided Visual Feature Selection for Compact Language-Conditioned Robot Manipulation
Vision-Language-Action models achieve strong performance in robot manipulation, but often require large numbers of parameters.TACTIC: Understanding Tactile Encoders and Conditioning for Contact-rich Robot Manipulation Policies
Tactile information is essential for contact-rich manipulation tasks in robotics.TRACKGRAPH: Online Open-Vocabulary 3D Scene Graphs via Image-Space Tracking
Open-vocabulary 3D maps enable robots to reason about previously unknown environments using natural language.Quadruped Obstacle Avoidance and Footstep Planning with Distributed Low-cost Time-of-Flight Sensors
Quadruped robots typically rely on depth cameras and LiDAR sensors to map their local environment.Co-design of trajectory and morphology for a vertical jump-climbing robot
Animals such as squirrels and even bears have adapted to rapidly climb up trees and other complex vertical terrain, but achieving comparable agility has been a challenge for climbing robots.Precision at Speed: Sample-Efficient Online Model-Based Reinforcement Learning for Hydraulic Excavator Control
Precise, high-speed control remains challenging for robots with complex actuation dynamics.Compact Force Sensor for Dual-UAV Cable-Suspended Payload Transport with Tension-Aware Outer-Loop Control
Cooperative payload transportation using multiple Unmanned Aerial Vehicles (UAVs) poses challenges in stability, coordination, and robustness, especially under external disturbances and unmodeled…Kintsugi-VLA: Turning Failed Robot Rollouts into Recovery Data through Interventional Recoverability
Simulation enables scalable training of Vision-Language-Action policies by using privileged experts to generate visual demonstrations without requiring every trajectory to be collected through…Accuracy Evaluation of INS/ZUPT Filtering Methods Based on Different Geometric Error Definitions
Geometric filters have recently been introduced to improve the accuracy and consistency of inertial-based integrated navigation systems.AuthGuard-R: Safety-Compliant Mission Hijacking and Dual-Gate Defense for LLM-Controlled Robots
Large language models are increasingly used as high-level planners for mobile robots, robot manipulators, and autonomous vehicles.DualManip: Agentic Dynamic Manipulation via Dual-Path Semantic Reasoning and Geometric Adaptation
Vision-language models (VLMs) enable open-vocabulary reasoning for robot manipulation, but their high inference latency limits responsiveness in dynamic scenes.