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2327 result(s) for “Deep Learning in Robotics and Automation” Page 3 of 47
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Composing Pre-Trained Object-Centric Representations for Robotics From "What" and "Where" Foundation Models
Junyao Shi, Jianing Qian, Yecheng Jason Ma, Dinesh Jayaraman
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Vehicle Behavior Prediction by Episodic-Memory Implanted NDT
Peining Shen, Jianwu Fang, Hongkai Yu, Jianru Xue
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FLTRNN: Faithful Long-Horizon Task Planning for Robotics with Large Language Models
Jiatao Zhang, lanling Tang, Yufan Song, Qiwei Meng, Haofu Qian, Jun Shao, Wei Song, Shiqiang Zhu, Jason Gu
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Dynamic Multi-Agent Deep Deterministic Policy Gradient for Autonomous Navigation of Reconfigurable Unmanned Aerial Vehicle
Xin Lu, Zegui Wu, Ruqing Zhao, Fusheng Li
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TPGP: Temporal-Parametric Optimization with Deep Grasp Prior for Dexterous Motion Planning
Haoming Li, Qi Ye, Yuchi Huo, Qingtao Liu, Shijian Jiang, Tao Zhou, Xiang Li, Yang Zhou, Jiming Chen
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Drive Anywhere: Generalizable End-To-End Autonomous Driving with Multi-Modal Foundation Models
Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
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Unraveling the Single Tangent Space Fallacy: An Analysis and Clarification for Applying Riemannian Geometry in Robot Learning
Noémie Jaquier, Leonel Rozo, Tamim Asfour
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CloudGripper: An Open Source Cloud Robotics Testbed for Robotic Manipulation Research, Benchmarking and Data Collection at Scale
Muhammad Zahid, Florian T. Pokorny
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Generalized Correspondence Matching Via Flexible Hierarchical Refinement and Patch Descriptor Distillation
Yu Han, Ziwei Long, Yanting Zhang, Wu Jin, Zhijun Fang, Rui Fan
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SG-RoadSeg: End-To-End Collision-Free Space Detection Sharing Encoder Representations Jointly Learned Via Unsupervised Deep Stereo
Zhiyuan Wu, Jiaqi Li, Yi Feng, Chengju Liu, Wei Ye, Qijun Chen, Rui Fan
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OmniLRS: A Photorealistic Simulator for Lunar Robotics
Antoine Richard, Junnosuke Kamohara, Kentaro Uno, Shreya Santra, Dave van der Meer, Miguel A. Olivares-Mendez, Kazuya Yoshida
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CausalAgents: A Robustness Benchmark for Motion Forecasting
Liting Sun, Rebecca Roelofs, Ben Caine, Khaled Refaat, Benjamin Sapp, Scott Ettinger, Wei Chai
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DL-PoseNet: A Differential Lightweight Network for Pose Regression Over SE(3)
Wenjie Li, Jia Liu, Yanyan Wang, Dayong Ren, Wei Hao, Lijun Chen
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Contrastive Learning for Enhancing Robust Scene Transfer in Vision-Based Agile Flight
Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza
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OpenBot-Fleet: A System for Collective Learning with Real Robots
Matthias Müller, Samarth Manoj Brahmbhatt, Ankur Deka, Quentin Leboutet, David Hafner, Vladlen Koltun
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RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots
Benjamin Alt, Florian Stoeckl, Silvan Müller, Christopher Braun, Julian Raible, Saad Alhasan, Oliver Rettig, Lukas Daniel Ringle, Darko Katic, Rainer Jäkel, Michael Beetz, Marcus Strand, Marco F. Huber
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Autonomous and Teleoperation Control of a Drawing Robot Avatar
Lingyun Chen, Abdeldjallil Naceri, Abdalla Swikir, Sandra Hirche, Sami Haddadin
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ContourPose: Monocular 6D Pose Estimation Method for Reflective Texture-Less Metal Parts
Zaixing He, Quanzhi Li, Xinyue Zhao, Jin Wang, Huarong Shen, Shuyou Zhang, Jianrong Tan
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Learning Quadrupedal Locomotion with Impaired Joints Using Random Joint Masking
Mincheol Kim, Ukcheol Shin, Jung-Yup Kim
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Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing
Haolan Liu, Liangjun Zhang, Siva Kumar Sastry Hari, Jishen Zhao
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PLASTR: Planning for Autonomous Sampling-Based Trowelling
Mads Alber Kuhlmann-Jørgensen, Johannes Pankert, Lukasz Leszek Pietrasik, Marco Hutter
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SupeRGB-D: Zero-Shot Instance Segmentation in Cluttered Indoor Environments
Evin Pinar Örnek, Aravindhan Krishnan, Shreekant Gayaka, CHENG-HAO KUO, Arnab Sen, Nassir Navab, Federico Tombari
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DVI-SLAM: A Dual Visual Inertial SLAM Network
Xiongfeng Peng, zhihua Liu, Weiming Li, Ping Tan, SoonYong Cho, Qiang Wang
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Joint-Loss Enhanced Self-Supervised Learning for Refinement-Coupled Object 6D Pose Estimation
Fengjun Mu, Shixiang Sun, Rui Huang, Chaobin Zou, Wenjiang Li, Huayi Zhan, Hong Cheng
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Two-Stage Learning of Highly Dynamic Motions with Rigid and Articulated Soft Quadrupeds
francesco vezzi, Jiatao Ding, Antonin Raffin, Jens Kober, Cosimo Della Santina
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Multi-Robot Cooperative Socially-Aware Navigation Using Multi-Agent Reinforcement Learning
Weizheng Wang, Le Mao, Ruiqi Wang, Byung-Cheol Min
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Curriculum-Based Sensing Reduction in Simulation to Real-World Transfer for In-Hand Manipulation
Lingfeng Tao, Jiucai Zhang, Qiaojie Zheng, Xiaoli Zhang
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A Reinforcement Learning-Based Control Strategy for Robust Interaction of Robotic Systems with Uncertain Environments
Diletta Sacerdoti, Federico Benzi, Cristian Secchi
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An Efficient Model Based Approach on Learning Agile Motor Skills without Reinforcement
Haojie Shi, Tingguang Li, Qingxu Zhu, Jiapeng Sheng, Lei Han, Max Q.-H. Meng
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Machine Learning-Driven Burrowing with a Snake-Like Robot
Sean Even, Holden Gordon, Hoeseok Yang, Yasemin OZKAN-AYDIN
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Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration
Jakob Thumm, Felix Trost, Matthias Althoff
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Generalizing Cooperative Eco-driving via Multi-residual Task Learning
Vindula Jayawardana, Sirui Li, Cathy Wu, Yashar Farid, Kentaro Oguchi
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Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration
Li Ling, Jun Zhang, Nils Bore, John Folkesson, Anna Wåhlin
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Robotic Grasping of Harvested Tomato Trusses Using Vision and Online Learning
Luuk van den Bent, Tomás Coleman, Robert Babuska
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Kalman Filter-Based One-Shot Sim-To-Real Transfer Learning
dongqingwei dongqingwei, Peng Zeng, Guangxi Wan, Yunpeng He, Xiaoting Dong
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Towards Real-World Efficiency: Domain Randomization in Reinforcement Learning for Pre-Capture of Free-Floating Moving Targets by Autonomous Robots
Bahador Beigomi, ZhengHong (George) Zhu
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MuRoSim � a Fast and Efficient Multi-Robot Simulation for Learning-based Navigation
Christian Jestel, Karol Rösner, Niklas Dietz, Nicolas Bach, Julian Eßer, Jan Finke, Oliver Urbann
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Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behaviors and Adversarial Style Sampling for Assistive Tasks
Takayuki Osa, Tatsuya Harada
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Learning Crowd Behaviors in Navigation with Attention-Based Spatial-Temporal Graphs
Yanying Zhou, Jochen Garcke
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Symmetry-Aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist
Nguyen Hai, Tadashi Kozuno, Cristian Camilo Beltran-Hernandez, Masashi Hamaya
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Exploiting Transformer in Sparse Reward Reinforcement Learning for Interpretable Temporal Logic Motion Planning
Hao Zhang, Hao Wang, Zhen Kan
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Efficient Hybrid Neuromorphic-Bayesian Model for Olfaction Sensing: Detection and Classification
Rizwana Kausar, Fakhreddine Zayer, Jaime Viegas, Jorge Dias
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LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation
Shuo Cheng, Danfei Xu
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Semi-Autonomous Robotic Manipulator for Minimally Invasive Aortic Valve Replacement
Izadyar Tamadon, S.M.Hadi Sadati, Virginia Mamone, Vincenzo Ferrari, Christos Bergeles, Arianna Menciassi
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Learning-Based Efficient Phase-Amplitude Modulation and Hybrid Control for MRI-Guided Focused Ultrasound Treatment
JING DAI, Bohao Zhu, Xiaomei WANG, Zhiyi Jiang, Mengjie Wu, Liyuan Liang, Xiaochen Xie, James Lam, Hing-Chiu Chang, Ka-Wai Kwok
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Learning Terminal State of the Trajectory Planner: Application for Collision Scenarios of Autonomous Vehicles
Joonhee Lim, Kibeom Lee, Dongsuk Kum
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Self-supervised Learning for Joint Pushing and Grasping Policies in Highly Cluttered Environments
Yongliang Wang, Kamal Mokhtar, Cock Heemskerk, Hamidreza Kasaei
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DexDLO: Learning Goal-Conditioned Dexterous Policy for Dynamic Manipulation of Deformable Linear Objects
Sun Zhaole, Jihong Zhu, Robert Fisher
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MoRC - a Modular Robot Controller
Carsten Oldemeyer, Matthias Hellerer, Matthias Reiner, Bernhard Thiele, Patrick Weber, Tobias Bellmann
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6-DoF Closed-Loop Grasping with Reinforcement Learning
Sverre Herland, Kerstin Bach, Ekrem Misimi
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