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ICRA 2024

2337 papers · 0 AI summaries · 2024

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740 result(s) for “Human-Aware Motion Planning” Page 7 of 15
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Non-Intrusive LiDAR Protection Module Emulating Bio-Inspired Wiping Motion for Outdoor Unmanned Vehicles
Youngrae Kim, Seunghyun Lim, Hanmin Lee, Seokchan Kim, Ji-Chul Kim, Dongwon Yun
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Reinforcement Learning with Energy-Exchange Dynamics for Spring-Loaded Biped Robot Walking
Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara
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Towards Unifying Human Likeness: Evaluating Metrics for Human-Like Motion Retargeting on Bimanual Manipulation Tasks
Andre Meixner, Mischa Carl, Franziska Krebs, Noémie Jaquier, Tamim Asfour
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Stiffness-Based Hybrid Motion/ Force Control for Cable-Driven Serpentine Manipulator
Wenshuo Li, Wenfu Xu, Peisheng Huang, Boyang Lin, Bin Liang
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APACE: Agile and Perception-Aware Trajectory Generation for Quadrotor Flights
Xinyi Chen, Yichen Zhang, Boyu Zhou, Shaojie Shen
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Commonsense Spatial Knowledge-Aware 3-D Human Motion and Object Interaction Prediction
Sang Uk Lee
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A Generalized Motion Control Framework of Dielectric Elastomer Actuators: Dynamic Modeling, Sliding-Mode Control and Experimental Evaluation
Jiang Zou, Shakiru Olajide Kassim, Jieji Ren, Vahid Vaziri, Sumeet S. Aphale, Guoying Gu
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Design and Analysis of Soft Hybrid-Driven Manipulator with Variable Stiffness and Multiple Motion Patterns
Xin Fu, Daohui Zhang, Liyan Mo, Kai Li, Xingang Zhao
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A 3D Vector Field and Gaze Data Fusion Framework for Hand Motion Intention Prediction in Human-Robot Collaboration
Maleen Jayasuriya, Gibson Hu, Dinh Dang Khoa Le, Karyne Ang, Shankar Sankaran, Dikai Liu
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TrackDLO: Tracking Deformable Linear Objects under Occlusion with Motion Coherence
Jingyi Xiang, Holly Dinkel, Harry Zhao, Naixiang Gao, Brian Coltin, Trey Smith, Timothy Bretl
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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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Enhanced Robust Motion Control Based on Unknown System Dynamics Estimator for Robot Manipulators
Xinyu Jia, Jun Yang, Lu Kaixin, Yongping Pan, Haoyong Yu
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A Miniature 1R1T Precision Manipulator with Remote Center of Motion for Minimally Invasive Surgery
Hiroyuki Suzuki
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Learning Complex Motion Plans Using Neural ODEs with Safety and Stability Guarantees
Farhad Nawaz Savvas Sadiq Ali, Tianyu Li, Nikolai Matni, Nadia Figueroa
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MAL: Motion-Aware Loss with Temporal and Distillation Hints for Self-Supervised Depth Estimation
Yuejiang Dong, Fang-Lue Zhang, Song-Hai Zhang
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Kinematic Synergy Primitives for Human-Like Grasp Motion Generation
Julia Starke, Tamim Asfour
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Refining Pre-Trained Motion Models
Xinglong Sun, Adam Harley, Leonidas Guibas
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Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds
Kanghyun Ryu, Negar Mehr
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A Soft, Lightweight Flipping Robot with Versatile Motion Capabilities for Wall-Climbing Applications
Rui Chen, Xinrui Tao, Changyong (Chase) Cao, Pei Jiang, Jun Luo, Yu Sun
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A Novel Benchmarking Paradigm and a Scale and Motion-Aware Model for Egocentric Pedestrian Trajectory Prediction
Amir Rasouli
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Enhancing Dexterity in Robotic Manipulation Via Hierarchical Contact Exploration
Xianyi Cheng, Sarvesh Patil, Zeynep Temel, Oliver Kroemer, Matthew T. Mason
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A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
Andrew Holliday, Gregory Dudek
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Modality Attention for Prediction-Based Robot Motion Generation: Improving Interpretability and Robustness of Using Multi-Modality
Hideyuki Ichiwara, Hiroshi Ito, Kenjiro Yamamoto, Hiroki Mori, Tetsuya Ogata
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Online-Learning-Based Distributionally Robust Motion Control with Collision Avoidance for Mobile Robots
Han Wang, Chao Ning, longyan Li, Weidong Zhang
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How Many Views Are Needed to Reconstruct an Unknown Object Using NeRF?
Sicong Pan, Liren Jin, Hao Hu, Marija Popovic, Maren Bennewitz
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Using Specularities to Boost Non-Rigid Structure-From-Motion
Agniva Sengupta, Makki Karim, Adrien Bartoli
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Enabling Large-Scale Heterogeneous Collaboration with Opportunistic Communications
Fernando Cladera, Zachary Ravichandran, Ian Miller, M. Ani Hsieh, Camillo Jose Taylor, Vijay Kumar
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Enhancing Motion Trajectory Segmentation of Rigid Bodies Using a Novel Screw-Based Trajectory-Shape Representation
Arno Verduyn, Maxim Vochten, Joris De Schutter
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Self-Supervised Regression of sEMG Signals Combining Non-Negative Matrix Factorization with Deep Neural Networks for Robot Hand Multiple Grasping Motion Control
Roberto Meattini, Alessio Caporali, Alessandra Bernardini, Gianluca Palli, Claudio Melchiorri
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Evaluating the Task Generalization of Temporal Convolutional Networks for Surgical Gesture and Motion Recognition Using Kinematic Data
Kay Hutchinson, Ian Reyes, Zongyu Li, Homa Alemzadeh
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L-DYNO: Framework to Learn Consistent Visual Features Using Robot�s Motion
kartikeya singh, Charuvahan Adhivarahan, Karthik Dantu
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MIntNet: Rapid Motion Intention Forecasting of Coupled Human-Robot Systems with Simulation-To-Real Autoregressive Neural Networks
John Atkins, Hyunglae Lee
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Kinematic-Aware Prompting for Generalizable Articulated Object Manipulation with LLMs
Wenke Xia, Dong Wang, Xincheng Pang, Zhigang Wang, Bin Zhao, Di Hu, Xuelong Li
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Active-Perceptive Motion Generation for Mobile Manipulation
Snehal Jauhri, Sophie C. Lueth, Georgia Chalvatzaki
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Preliminary Study of Fingertip and Wrist Motion Based Haptic Controller for Robotically Assisted Micro and Supermicrosurgy
Muneaki Miyasaka, Pepijn van Esch, Atsushi Morikawa, Kotaro Tadano
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Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems?
Yongchao Chen, Jacob Arkin, Yang Zhang, Nicholas Roy, Chuchu Fan
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Vision-Based Wearable Steering Assistance for People with Impaired Vision in Jogging
Xiaotong Liu, Binglu Wang, Zhijun Li
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Risk-Averse Trajectory Optimization Via Sample Average Approximation
Thomas Lew, Riccardo Bonalli, Marco Pavone
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Towards Motion Forecasting with Real-World Perception Inputs: Are End-To-End Approaches Competitive?
Yihong Xu, Loick Chambon, Eloi zablocki, Mickaël Chen, Alexandre Alahi, Matthieu Cord, Patrick Perez
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Stable Motion Primitives Via Imitation and Contrastive Learning
Rodrigo Pérez-Dattari, Jens Kober
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DiPPeR: Diffusion-Based 2D Path Planner Applied on Legged Robots
Jianwei Liu, Maria Stamatopoulou, Dimitrios Kanoulas
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IQL-TD-MPC: Implicit Q-Learning for Hierarchical Model Predictive Control
Rohan Chitnis, Yingchen Xu, Bobak Hashemi, Lucas Lehnert, ÜrÃ1⁄4n Dogan, Zheqing Zhu, Olivier Delalleau
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SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation
Hao Dong, Weihao Gu, Xianjing Zhang, Jintao Xu, Rui Ai, Huimin Lu, Juho Kannala, Xieyuanli Chen
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Active Neural Topological Mapping for Multi-Agent Exploration
Xinyi Yang, Yuxiang Yang, Chao Yu, Jiayu Chen, Yu Jincheng, Haibing Ren, Huazhong Yang, Yu Wang
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HAGrasp: Hybrid Action Grasp Control in Cluttered Scenes Using Deep Reinforcement Learning
Kai-Tai Song, Hsiang-Hsi Chen
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Risk-Bounded Online Team Interventions via Theory of Mind
Yuening Zhang, Paul Robertson, Tianmin Shu, Sungkweon Hong, Brian Williams
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Pedestrian Trajectory Prediction Using Dynamics-Based Deep Learning
Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
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JSTR: Joint Spatio-Temporal Reasoning for Event-Based Moving Object Detection
Hanyu Zhou, Zhiwei Shi, Hao Dong, Shihan Peng, Yi Chang, Luxin Yan
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CAPE: Corrective Actions from Precondition Errors Using Large Language Models
Shreyas Sundara Raman, Vanya Cohen, Ifrah Idrees, Eric Rosen, Raymond Mooney, Stefanie Tellex, David Paulius
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Gaussian Process-Based Traversability Analysis for Terrain Mapless Navigation
Abraham Abe Leininger, Mahmoud Ali, Hassan Jardali, Lantao Liu
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