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1415 result(s) for “Learning from Demonstration” Page 4 of 29
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Pedestrian Trajectory Prediction Using Dynamics-Based Deep Learning
Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
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INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields
Julia Hindel, Nikhil Gosala, Kevin Bregler, Abhinav Valada
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Co-Learning Planning and Control Policies Constrained by Differentiable Logic Specifications
Zikang Xiong, Daniel Lawson, Joe Kurian Eappen, Ahmed H. Qureshi, Suresh Jagannathan
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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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Robotic Constrained Imitation Learning for the Peg Transfer Task in Fundamentals of Laparoscopic Surgery
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
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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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Self-Supervised Learning of Monocular Visual Odometry and Depth with Uncertainty-Aware Scale Consistency
Changhao Wang, Guanwen Zhang, Wei Zhou
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Learning-Aided Warmstart of Model Predictive Control in Uncertain Fast-Changing Traffic
Mohamed-Khalil Bouzidi, Yue Yao, Joerg Reichardt, Daniel Goehring
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Torque-Based Deep Reinforcement Learning for Task-And-Robot Agnostic Learning on Bipedal Robots Using Sim-To-Real Transfer
Donghyeon Kim, Glen Berseth, Mathew Schwartz, Jaeheung Park
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Stable Motion Primitives Via Imitation and Contrastive Learning
Rodrigo Pérez-Dattari, Jens Kober
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Decision Making for Human-In-The-Loop Robotic Agents Via Uncertainty-Aware Reinforcement Learning
Siddharth Singi, Zhanpeng He, Alvin Pan, Sandipkumar Patel, Gunnar Sigurdsson, Robinson Piramuthu, Shuran Song, Matei Ciocarlie
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Contrastive Learning-Based Attribute Extraction Method for Enhanced Terrain Classification
Xiao Liu, Hongjin Chen, Haoyao Chen
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QuadricsNet: Learning Concise Representation for Geometric Primitives in Point Clouds
Ji Wu, Huai Yu, Wen Yang, Gui-Song Xia
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VBOC: Learning the Viability Boundary of a Robot Manipulator Using Optimal Control
Asia La Rocca, Matteo Saveriano, Andrea Del Prete
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Adapting to the �Open World�: The Utility of Hybrid Hierarchical Reinforcement Learning and Symbolic Planning
Pierrick Lorang, Horvath Helmut, Tobias Kietreiber, Patrik Zips, Clemens Heitzinger, Matthias Scheutz
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HSPNav: Hierarchical Scene Prior Learning for Visual Semantic Navigation towards Real Settings
Jiaxu Kang, Bolei Chen, Ping Zhong, Haonan Yang, Sheng Yu, Jianxin Wang
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Learning Vision-Based Pursuit-Evasion Robot Policies
Andrea Bajcsy, Antonio Loquercio, Ashish Kumar, Jitendra Malik
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Decentralized Motor Skill Learning for Complex Robotic Systems
Yanjiang Guo, Zheyuan Jiang, Yen-Jen Wang, Jingyue Gao, Jianyu Chen
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Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning Based Local Motion Planners
wen zheng terence ng, jianda chen, Sinno Jialin Pan, Tianwei Zhang
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Dual-Critic Deep Reinforcement Learning for Push-Grasping Synergy in Cluttered Environment
Jiakang Zhong, Yew Wee Wong, Jiong Jin, yong song, Xianfeng Yuan, Xiaoqi Chen
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Learning Highly Dynamic Behaviors for Quadrupedal Robots
Chong Zhang, Jiapeng Sheng, Tingguang Li, He Zhang, Cheng Zhou, Qingxu Zhu, Rui Zhao, Yizheng Zhang, Lei Han
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ManyQuadrupeds: Learning a Single Locomotion Policy for Diverse Quadruped Robots
Milad Shafiee, Guillaume Bellegarda, Auke Ijspeert
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Lifelong Robot Library Learning: Bootstrapping Composable and Generalizable Skills for Embodied Control with Language Models
Georgios Tziafas, Hamidreza Kasaei
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Toward the Use of Proxies for Efficient Learning Manipulation and Locomotion Strategies on Soft Robots
Etienne Ménager, Quentin Peyron, Christian Duriez
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LPNet: A Reaction-Based Local Planner for Autonomous Collision Avoidance Using Imitation Learning
Junjie Lu, Bailing Tian, Hongming Shen, Xuewei Zhang, Yulin Hui
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Model-Based Runtime Monitoring with Interactive Imitation Learning
Huihan Liu, Shivin Dass, Roberto Martín-Martín, Yuke Zhu
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LOTUS: Continual Imitation Learning for Robot Manipulation through Unsupervised Skill Discovery
Weikang Wan, Yifeng Zhu, Rutav Shah, Yuke Zhu
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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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Implicit Learning of Scene Geometry from Poses for Global Localization
Mohammad Altillawi, Shile Li, Sai Manoj Prakhya, Ziyuan Liu, Joan Serrat
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Data-Driven Latent Space Representation for Robust Bipedal Locomotion Learning
Guillermo A. Castillo, Bowen Weng, Wei Zhang, Ayonga Hereid
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CVFormer: Learning Circum-View Representation and Consistency Constraints for Vision-Based Occupancy Prediction Via Transformers
Zhengqi Bai, Wenjun Shi, Dongchen Zhu, HanLong Kang, Guanghui Zhang, Gang Ye, Yang Xiao, Lei Wang, Xiaolin Zhang, bo Li, Jiamao Li
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Deep Learning Based Acoustic Measurement Approach for Robotic Applications on Orthopedics
Bangyu Lan, Momen Abayazid, Nico Verdonschot, Stefano Stramigioli, Kenan Niu
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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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Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine
Dvij Kalaria, Qin Lin, John M. Dolan
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6-DoF Closed-Loop Grasping with Reinforcement Learning
Sverre Herland, Kerstin Bach, Ekrem Misimi
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Masked Local-Global Representation Learning for 3D Point Cloud Domain Adaptation
Bowei Xing, Xianghua Ying, Ruibin Wang
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Beyond NeRF Underwater: Learning Neural Reflectance Fields for True Color Correction of Marine Imagery
Tianyi Zhang, Matthew Johnson-Roberson
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Adaptive Whole-Body Robotic Tool-Use Learning on Low-Rigidity Plastic-Made Humanoids Using Vision and Tactile Sensors
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
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LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery
Kexin Chen, Du Yuyang, Tao You, Mobarakol Islam, Ziyu Guo, YUEMING Jin, Guangyong Chen, Pheng Ann Heng
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Differentially Encoded Observation Spaces for Perceptive Reinforcement Learning
Lev Grossman, Brian Plancher
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Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network
Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
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Learning Realistic and Reasonable Grasps for Anthropomorphic Hand in Cluttered Scenes
Haonan Duan, Yiming Li, Daheng Li, Wei Wei, Yayu Huang, Peng Wang
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Learning Agile Flights through Narrow Gaps with Varying Angles Using Onboard Sensing
Yuhan XIE, Minghao Lu, Rui Peng, Peng Lu
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A Provably Stable Iterative Learning Controller for Continuum Soft Robots
Michele Pierallini, Francesco Stella, Franco Angelini, Bastian Deutschmann, Josie Hughes, Antonio Bicchi, Manolo Garabini, Cosimo Della Santina
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Neural Informed RRT*: Learning-based Path Planning with Point Cloud State Representations under Admissible Ellipsoidal Constraints
Zhe Huang, Hongyu Chen, John Pohovey, Katherine Driggs-Campbell
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VAPOR: Legged Robot Navigation in Unstructured Outdoor Environments Using Offline Reinforcement Learning
Kasun Weerakoon Kulathun Mudiyanselage, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor, Dinesh Manocha
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Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization
Fan Yang, Wenxuan Zhou, Zuxin Liu, DING ZHAO, David Held
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Sim-To-Real Robotic Sketching Using Behavior Cloning and Reinforcement Learning
Biao Jia, Dinesh Manocha
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When to Replan? an Adaptive Replanning Strategy for Autonomous Navigation Using Deep Reinforcement Learning
Kohei Honda, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno
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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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