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ICRA 2024

2337 papers · 0 AI summaries · 2024

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2312 result(s) for “Task and Motion Planning” Page 9 of 47
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SLCF-Net: Sequential LiDAR-Camera Fusion for Semantic Scene Completion Using a 3D Recurrent U-Net
Helin Cao, Sven Behnke
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SIMMF: Semantics-Aware Interactive Multiagent Motion Forecasting for Autonomous Vehicle Driving
Vidyaa Krishnan Nivash, Ahmed H. Qureshi
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Learning Motion Reconstruction from Demonstration Via Multi-Modal Soft Tactile Sensing
Cheng Pan, Kieran Gilday, Emily Sologuren, Kai Junge, Josie Hughes
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Rider Cooperative Control of Rear-Wheel-Swing Motorcycle Based on Divergent Component of Motion
Tadashi Sumioka, Kazushi Akimoto, Takuya Tsujimura, Sho Takayanagi, Katsuhiko Fukushima, Tsubasa Nose
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Envibroscope: Real-Time Monitoring and Prediction of Environmental Motion for Enhancing Safety in Robot-Assisted Microsurgery
Alireza Alikhani, Satoshi Inagaki, Shervin Dehghani, Mathias Maier, Nassir Navab, M. Ali Nasseri
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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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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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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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Waverider: Leveraging Hierarchical, Multi-Resolution Maps for Efficient and Reactive Obstacle Avoidance
Victor Reijgwart, Michael Pantic, Roland Siegwart, Lionel Ott
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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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Geometric Slosh-Free Tracking for Robotic Manipulators
Jon Arrizabalaga, Lukas Pries, Riddhiman Laha, Runkang Li, Sami Haddadin, Markus Ryll
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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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A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
Andrew Holliday, Gregory Dudek
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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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Projected Task-Specific Layers for Multi-Task Reinforcement Learning
Josselin Somerville Roberts, Julia Di
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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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Self-Sensing Feedback Control of an Electrohydraulic Robotic Shoulder
Clemens Claudio Christoph, Amirhossein Kazemipour, Michel Ryan Vogt, Yu Zhang, Robert Kevin Katzschmann
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Using Specularities to Boost Non-Rigid Structure-From-Motion
Agniva Sengupta, Makki Karim, Adrien Bartoli
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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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Deep Model Predictive Optimization
Jacob Sacks, Rwik Rana, Kevin Huang, Alexander Spitzer, Guanya Shi, Byron Boots
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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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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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L-DYNO: Framework to Learn Consistent Visual Features Using Robot�s Motion
kartikeya singh, Charuvahan Adhivarahan, Karthik Dantu
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Risk-Averse Trajectory Optimization Via Sample Average Approximation
Thomas Lew, Riccardo Bonalli, Marco Pavone
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Multi-Task Learning for Real-Time Autonomous Driving Leveraging Task-Adaptive Attention Generator
Wonhyeok Choi, Mingyu Shin, HYUKZAE LEE, Jaehoon Cho, Jaehyeon Park, Sunghoon Im
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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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Multi-Objective Cross-Task Learning Via Goal-Conditioned GPT-Based Decision Transformers for Surgical Robot Task Automation
Jiawei Fu, Yonghao Long, Kai Chen, Wang Wei, Qi Dou
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Digital Robot Judge (DR.J): Building a Task-Centric Performance Database of Real-World Manipulation with Electronic Task Boards
Peter So, Andriy Sarabakha, Fan Wu, Utku Culha, Fares Abu-Dakka, Sami Haddadin
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Singularity-Robust Prioritized Whole-Body Tracking and Interaction Control with Smooth Task Transitions
Xuwei Wu, Alin Albu-Schäffer, Alexander Dietrich
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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
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DiPPeR: Diffusion-Based 2D Path Planner Applied on Legged Robots
Jianwei Liu, Maria Stamatopoulou, Dimitrios Kanoulas
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Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework
Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka
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Multi-Robot Task Allocation under Uncertainty Via Hindsight Optimization
Neel Dhanaraj, Jeon Ho Kang, Anirban Mukherjee, Heramb Nemlekar, Stefanos Nikolaidis, Satyandra K. Gupta
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Automated Sperm Immobilization with a Clinically-Compatible and Compact XYZ Stage
Haocong Song, Wenyuan Chen, Changsheng Dai, Guanqiao Shan, Steven Yang, Aojun Jiang, Zhuoran Zhang, Yu Sun
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