Robotics
Papers filed under cs.RO on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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481 to 540 of 3,243
Foundation Models for Generalizable Semantic and Goal-Oriented Communication
Boliang Liu, Wint Yi Poe, Riccardo Trivisonno +1
cs.LGcs.AIcs.ROarXiv:2609.07853v12026Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance
Lucas Janson, Brian Ichter, Marco Pavone
cs.ROarXiv:1505.00023v22015Bridging Language and Physics: Automated Design of Continuum Robots with Large Language Models
Jingyi Chen, Mohan Zhang, Laura Yao +5
cs.ROarXiv:2609.08220v12026Rapid Exploration for Open-World Navigation with Latent Goal Models
Dhruv Shah, Benjamin Eysenbach, Gregory Kahn +2
cs.ROcs.AIcs.LGarXiv:2104.05859v52021Mind the Phase: Effective Rank and Representation Health in Legged Locomotion
Felipe Tommaselli, Thiago H. Segreto, Juliano D. Negri +2
cs.ROcs.AIarXiv:2609.06958v12026Knowledge-Guided Hierarchical Policy Learning for High-Precision Cylindrical Assembly under Tight Tolerances
Binbin Lian, Xinyu Liu, Tao Sun
cs.ROarXiv:2609.06522v12026A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application
Dominik Nuss, Stephan Reuter, Markus Thom +5
cs.ROarXiv:1605.02406v22016LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking
Xingxing Zuo, Yulin Yang, Patrick Geneva +4
cs.ROarXiv:2008.07196v12020Multi-bounce Drum Roll with Optimized Active Tricks to Leverage Soft Embodiment
Naoto Yamanaka, Takanori Jin, Taisuke Kobayashi
cs.ROarXiv:2609.08490v12026XIRL: Cross-embodiment Inverse Reinforcement Learning
Kevin Zakka, Andy Zeng, Pete Florence +3
cs.ROcs.AIcs.CVarXiv:2106.03911v32021Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning
Florian Fuchs, Yunlong Song, Elia Kaufmann +2
cs.AIcs.LGcs.ROarXiv:2008.07971v22020se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Bowen Wen, Chaitanya Mitash, Baozhang Ren +1
cs.CVcs.GRcs.LGarXiv:2007.13866v12020Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo
Taylor Howell, Nimrod Gileadi, Saran Tunyasuvunakool +3
cs.ROeess.SYarXiv:2212.00541v22022Sample-efficient Cross-Entropy Method for Real-time Planning
Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes +4
cs.LGcs.ROstat.MLarXiv:2008.06389v12020Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints
Shushman Choudhury, Jayesh K. Gupta, Mykel J. Kochenderfer +2
cs.ROcs.AIarXiv:2005.13109v32020MemCorr-DP: Counterfactual Correspondence Conditioning for a Diffusion Policy Guided by a Reference
Tan Su, Haoxiang Yang, Ruxin Wang +1
cs.ROcs.AIarXiv:2609.06615v12026Evaluating the Single-Shot MultiBox Detector and YOLO Deep Learning Models for the Detection of Tomatoes in a Greenhouse
Sandro A. Magalhães, Luís Castro, Germano Moreira +4
cs.CVcs.ROarXiv:2109.00810v12021Robot Learning from Randomized Simulations: A Review
Fabio Muratore, Fabio Ramos, Greg Turk +3
cs.ROcs.LGarXiv:2111.00956v22021Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model
Siyuan Huang, Zhengkai Jiang, Hao Dong +3
cs.ROcs.AIarXiv:2305.11176v32023Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
Karol Hausman, Yevgen Chebotar, Stefan Schaal +2
cs.ROcs.LGarXiv:1705.10479v22017RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
Jiayuan Gu, Sean Kirmani, Paul Wohlhart +14
cs.ROcs.AIarXiv:2311.01977v22023Automatic Extrinsic Calibration for Lidar-Stereo Vehicle Sensor Setups
Carlos Guindel, Jorge Beltrán, David Martín +1
cs.CVcs.ROarXiv:1705.04085v32017ExBody2: Advanced Expressive Humanoid Whole-Body Control
Mazeyu Ji, Xuanbin Peng, Fangchen Liu +4
cs.ROcs.AIcs.LGarXiv:2412.13196v22024Collision Snapshot Guided Time-Reversed Safety-Critical Scenario Generation
Taehyung Kim, Jongeun Choi
cs.ROcs.AIarXiv:2609.06433v12026Exploring Model-based Planning with Policy Networks
Tingwu Wang, Jimmy Ba
cs.LGcs.AIcs.ROarXiv:1906.08649v12019Grounding Language with Visual Affordances over Unstructured Data
Oier Mees, Jessica Borja-Diaz, Wolfram Burgard
cs.ROcs.AIcs.CLarXiv:2210.01911v32022End-to-end Trainable Deep Neural Network for Robotic Grasp Detection and Semantic Segmentation from RGB
Stefan Ainetter, Friedrich Fraundorfer
cs.CVcs.ROarXiv:2107.05287v22021PlannerForge: LLM Agents for Scenario-Based Testing of Motion Planners in Autonomous Driving
Yuan Gao, Sebastian Müller, Mattia Piccinini +5
cs.AIcs.CLcs.ROarXiv:2609.08965v12026Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube
Aravind Sivakumar, Kenneth Shaw, Deepak Pathak
cs.ROcs.AIcs.CVarXiv:2202.10448v22022RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies
Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser +2
cs.ROcs.AIcs.LGarXiv:1907.04799v22019Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
Deepak Pathak, Chris Lu, Trevor Darrell +2
cs.LGcs.AIcs.CVarXiv:1902.05546v22019Internet of Drones
Mirmojtaba Gharibi, Raouf Boutaba, Steven L. Waslander
cs.NIcs.ROarXiv:1601.01289v22016Keyframe-based monocular SLAM: design, survey, and future directions
Georges Younes, Daniel Asmar, Elie Shammas +1
cs.CVcs.ROarXiv:1607.00470v22016Trust-Aware Decision Making for Human-Robot Collaboration: Model Learning and Planning
Min Chen, Stefanos Nikolaidis, Harold Soh +2
cs.ROcs.AIarXiv:1801.04099v32018Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images
Lei Sun, Kailun Yang, Xinxin Hu +2
cs.CVcs.ROeess.IVarXiv:2002.10570v22020Learning Quadrotor Dynamics Using Neural Network for Flight Control
Somil Bansal, Anayo K. Akametalu, Frank J. Jiang +2
eess.SYcs.ROmath.OCarXiv:1610.05863v12016From Motor Control to Team Play in Simulated Humanoid Football
Siqi Liu, Guy Lever, Zhe Wang +19
cs.AIcs.MAcs.NEarXiv:2105.12196v12021Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM
Luigi Nardi, Bruno Bodin, M. Zeeshan Zia +9
cs.ROcs.CVcs.DCarXiv:1410.2167v22014Focus Is All You Need: Loss Functions For Event-based Vision
Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza
cs.CVcs.LGcs.ROarXiv:1904.07235v12019Structured Evolution with Compact Architectures for Scalable Policy Optimization
Krzysztof Choromanski, Mark Rowland, Vikas Sindhwani +2
cs.LGcs.ROstat.MLarXiv:1804.02395v22018Robust Visual SLAM with Point and Line Features
Xingxing Zuo, Xiaojia Xie, Yong Liu +1
cs.CVcs.ROarXiv:1711.08654v12017BlenderProc
Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer +5
cs.CVcs.GRcs.LGarXiv:1911.01911v12019Fully Sparse 3D Object Detection
Lue Fan, Feng Wang, Naiyan Wang +1
cs.CVcs.ROarXiv:2207.10035v22022LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
Keunhong Park, Arsalan Mousavian, Yu Xiang +1
cs.CVcs.GRcs.ROarXiv:1912.00416v32019Selective Sensor Fusion for Neural Visual-Inertial Odometry
Changhao Chen, Stefano Rosa, Yishu Miao +4
cs.CVcs.AIcs.LGarXiv:1903.01534v12019Systematic Lightweight Method for Robotics Based on Strain Energy Distribution Optimization
Jingchen Li
cs.ROarXiv:2608.29146v12026Autonomous optimization of nonaqueous battery electrolytes via robotic experimentation and machine learning
Adarsh Dave, Jared Mitchell, Sven Burke +3
cs.LGcs.ROarXiv:2111.14786v12021Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control
Julian Nubert, Johannes Köhler, Vincent Berenz +2
cs.ROcs.LGeess.SYarXiv:1912.10360v22019Learning Robotic Assembly from CAD
Garrett Thomas, Melissa Chien, Aviv Tamar +2
cs.ROcs.LGarXiv:1803.07635v22018Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias
Abhinav Gupta, Adithyavairavan Murali, Dhiraj Gandhi +1
cs.ROcs.AIcs.CVarXiv:1807.07049v12018ManipulaTHOR: A Framework for Visual Object Manipulation
Kiana Ehsani, Winson Han, Alvaro Herrasti +5
cs.CVcs.AIcs.LGarXiv:2104.11213v12021Control Barrier Functions and Input-to-State Safety with Application to Automated Vehicles
Anil Alan, Andrew J. Taylor, Chaozhe R. He +2
eess.SYcs.ROarXiv:2206.03568v12022Active Clothing Material Perception using Tactile Sensing and Deep Learning
Wenzhen Yuan, Yuchen Mo, Shaoxiong Wang +1
cs.ROarXiv:1711.00574v22017LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments
Kamak Ebadi, Yun Chang, Matteo Palieri +9
eess.SPcs.ROarXiv:2003.01744v22020BEVBert: Multimodal Map Pre-training for Language-guided Navigation
Dong An, Yuankai Qi, Yangguang Li +4
cs.CVcs.AIcs.CLarXiv:2212.04385v22022SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding
Baoxiong Jia, Yixin Chen, Huangyue Yu +5
cs.CVcs.AIcs.CLarXiv:2401.09340v32024RoboCLIP: One Demonstration is Enough to Learn Robot Policies
Sumedh A Sontakke, Jesse Zhang, Sébastien M. R. Arnold +5
cs.AIcs.ROarXiv:2310.07899v12023VideoDex: Learning Dexterity from Internet Videos
Kenneth Shaw, Shikhar Bahl, Deepak Pathak
cs.ROcs.AIcs.CVarXiv:2212.04498v12022Just Go with the Flow: Self-Supervised Scene Flow Estimation
Himangi Mittal, Brian Okorn, David Held
cs.CVcs.LGcs.ROarXiv:1912.00497v22019Switchable Adhesion Actuator for Amphibious Climbing Soft Robot
Yichao Tang, Qiuting Zhang, Gaojian Lin +1
physics.app-phcs.ROarXiv:1804.08692v22018