Research Analyzer

ICRA 2024

2337 papers · 0 AI summaries · 2024

Clear
1431 result(s) for “Robot Learning” Page 5 of 29
Title & Authors Actions
Efficient Hierarchical Reinforcement Learning for Mapless Navigation with Predictive Neighbouring Space Scoring
Yan Gao, Jing Wu, Xintong Yang, Ze Ji
 View PDF
Dynamic Coalition Formation and Routing for Multirobot Task Allocation Via Reinforcement Learning
Weiheng Dai, Aditya Bidwai, Guillaume Adrien Sartoretti
 View PDF
Learning Dual-Arm Object Rearrangement for Cartesian Robots
Shishun Zhang, Qijin She, Wenhao Li, Chenyang Zhu, YONGJUN WANG, Ruizhen Hu, Kai Xu
 View PDF
Snake Robot with Tactile Perception Navigates on Large-Scale Challenging Terrain
Shuo Jiang, Adarsh Salagame, Alireza Ramezani, Lawson L.S. Wong
 View PDF
Shaping Social Robot to Play Games with Human Demonstrations and Evaluative Feedback
Chuanxiong Zheng, Lei Zhang, Hui Wang, Randy Gomez, Eric Nichols, Guangliang Li
 View PDF
SEQUEL: Semi-Supervised Preference-Based RL with Query Synthesis Via Latent Interpolation
Daniel Marta, Simon Holk, Christian Pek, Iolanda Leite
 View PDF
CoBT: Collaborative Programming of Behaviour Trees from One Demonstration for Robot Manipulation
Aayush Jain, Philip Long, Valeria Villani, John D. Kelleher, Maria Chiara Leva
 View PDF
Robotic Skill Mutation in Robot-To-Robot Propagation During a Physically Collaborative Sawing Task
Rosa Enna Sophia Maessen, J. Micah Prendergast, Luka Peternel
 View PDF
CITR: A Coordinate-Invariant Task Representation for Robotic Manipulation
Peter So, Rafael Ignacio Cabral Muchacho, Robin Jeanne Kirschner, Abdalla Swikir, Luis Figueredo, Fares Abu-Dakka, Sami Haddadin
 View PDF
A Wearable Robotic Hand for Hand-Over-Hand Imitation Learning
Dehao Wei, Huazhe Xu
 View PDF
CollisionGP: Gaussian Process-Based Collision Checking for Robot Motion Planning
Javier Muñoz Mendi, Peter Lehner, Luis Moreno, Alin Albu-Schäffer, Maximo A. Roa
 View PDF
POAQL: A Partially Observable Altruistic Q-Learning Method for Cooperative Multi-Agent Reinforcement Learning
Lesong Tao, miao kang, Jinpeng Dong, Songyi Zhang, Ke Ye, Shitao Chen, Nanning Zheng
 View PDF
Sample-Efficient Learning to Solve a Real-World Labyrinth Game Using Data-Augmented Model-Based Reinforcement Learning
Thomas Bi, Raffaello D'Andrea
 View PDF
Effective Representation Learning Is More Effective in Reinforcement Learning Than You Think
Jiawei Zheng, Yonghong Song
 View PDF
Learning a Flexible Neural Energy Function with a Unique Minimum for Globally Stable and Accurate Demonstration Learning
Zhehao Jin, WEIYONG SI, Andong Liu, Wen-An Zhang, Li Yu, Chenguang Yang
 View PDF
Towards Generalizable Zero-Shot Manipulation Via Translating Human Interaction Plans
Homanga Bharadhwaj, Abhinav Gupta, Vikash Kumar, Shubham Tulsiani
 View PDF
Symmetric Models for Visual Force Policy Learning
Colin Kohler, Anuj Shrivatsav Srikanth, Eshan Arora, Robert Platt
 View PDF
VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, DEEPAK GUPTA, Vinay Namboodiri, Piyush Rai
 View PDF
SocialGAIL: Faithful Crowd Simulation for Social Robot Navigation
Bo Ling, Yan Lyu, Dongxiao Li, Guanyu Gao, Yi Shi, Xueyong Xu, Weiwei Wu
 View PDF
Prescient Collision-Free Navigation of Mobile Robots with Iterative Multimodal Motion Prediction of Dynamic Obstacles
Ze Zhang, Hadi Hajieghrary, Emmanuel Dean, Knut Akesson
 View PDF
AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
Dongsu Lee, Chanin Eom, Minhae Kwon
 View PDF
A Simple Computationally Efficient Path ILC for Industrial Robotic Manipulators
Michael Schwegel, Andreas Kugi
 View PDF
Subequivariant Reinforcement Learning Framework for Coordinated Motion Control
Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu
 View PDF
Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering
Yu Shen, Laura Zheng, Tianyi Zhou, Ming C. Lin
 View PDF
CrossVideo: Self-Supervised Cross-Modal Contrastive Learning for Point Cloud Video Understanding
Yunze Liu, Changxi Chen, Zifan Wang, Li Yi
 View PDF
Generalizing Cooperative Eco-driving via Multi-residual Task Learning
Vindula Jayawardana, Sirui Li, Cathy Wu, Yashar Farid, Kentaro Oguchi
 View PDF
Learning Needle Pick-And-Place without Expert Demonstrations
Rokas Bendikas, Valerio Modugno, Dimitrios Kanoulas, Francisco Vasconcelos, Danail Stoyanov
 View PDF
An Offline Learning of Behavior Correction Policy for Vision-Based Robotic Manipulation
Qingxiuxiong Dong, Toshimitsu Kaneko, Masashi Sugiyama
 View PDF
Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework
Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka
 View PDF
Optimal Containment Control of Multiple Quadrotors Via Reinforcement Learning
Ming Cheng, Hao Liu, Deyuan Liu, Haibo Gu, Xiangke Wang
 View PDF
A Tube-Based Reinforcement Learning Approach for Optimal Motion Planning in Unknown Workspaces
Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
 View PDF
Uncertainty-Driven Exploration Strategies for Online Grasp Learning
Yitian Shi, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Hanna Ziesche, Zohar Feldman, Ngo Anh Vien
 View PDF
Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing
Haoru Xue, Edward Zhu, John M. Dolan, Francesco Borrelli
 View PDF
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
 View PDF
Informed Reinforcement Learning for Situation-Aware Traffic Rule Exceptions
Daniel Bogdoll, Jing Qin, Moritz Nekolla, Ahmed Abouelazm, Tim Joseph, Johann Marius Zöllner
 View PDF
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints
Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno, Ryo Yonetani, Kenta Hoshino, Yohei Hosoe
 View PDF
Distributional Reinforcement Learning with Sample-Set Bellman Update
Weijian Zhang, Jianshu Wang, Yu Yang
 View PDF
Under Pressure: Learning-Based Analog Gauge Reading in the Wild
Maurits Reitsma, Julian Keller, Kenneth Blomqvist, Roland Siegwart
 View PDF
Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning
Senlin Fang, Yi Wen Liu, Chengliang Liu, Jingnan Wang, Yuanzhe Su, Yupo Zhang, Hoiio Kong, Zhengkun Yi, Xinyu Wu
 View PDF
Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration
Li Ling, Jun Zhang, Nils Bore, John Folkesson, Anna Wåhlin
 View PDF
Hierarchical Meta-Learning-Based Adaptive Controller
Fengze Xie, Guanya Shi, Michael O'Connell, Yisong Yue, Soon-Jo Chung
 View PDF
Two-Stage Learning of Highly Dynamic Motions with Rigid and Articulated Soft Quadrupeds
francesco vezzi, Jiatao Ding, Antonin Raffin, Jens Kober, Cosimo Della Santina
 View PDF
Neural Implicit Swept Volume Models for Fast Collision Detection
Dominik Joho, Jonas Schwinn, Kirill Safronov
 View PDF
Cross Domain Policy Transfer with Effect Cycle-Consistency
Ruiqi Zhu, Tianhong Dai, Oya Celiktutan
 View PDF
Self-Supervised Learning of Monocular Visual Odometry and Depth with Uncertainty-Aware Scale Consistency
Changhao Wang, Guanwen Zhang, Wei Zhou
 View PDF
Dynamic Crane Scheduling with Reinforcement Learning for a Steel Coil Warehouse
Sang-Hyun Cho, Woo-Jin Shin, Jeongsun Ahn, Sanghyun Joo, Hyun-Jung Kim
 View PDF
Learning Emergent Gaits with Decentralized Phase Oscillators: On the Role of Observations, Rewards, and Feedback
Jenny Zhang, Steve Heim, Se Hwan Jeon, Sangbae Kim
 View PDF
Pedestrian Trajectory Prediction Using Dynamics-Based Deep Learning
Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
 View PDF
Learning to Predict Navigational Patterns from Partial Observations
Robin Karlsson, Alexander Carballo, Francisco Lepe-Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
 View PDF
SpawnNet: Learning Generalizable Visuomotor Skills from Pre-Trained Network
Xingyu Lin, John Ian So, Sashwat Mahalingam, Fangchen Liu, Pieter Abbeel
 View PDF