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ICRA 2024

2337 papers · 0 AI summaries · 2024

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2315 result(s) for “Control Architectures and Programming” Page 43 of 47
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ATPPNet: Attention Based Temporal Point Cloud Prediction Network
Kaustab Pal, Aditya Sharma, Avinash Sharma, Madhava Krishna
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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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Multi-Agent Strategy Explanations for Human-Robot Collaboration
Ravi Pandya, Michelle Zhao, Changliu Liu, Reid Simmons, Henny Admoni
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Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
Thomas Lampe, Abbas Abdolmaleki, Sandy H. Huang, Sarah Bechtle, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin Riedmiller
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Constant-Time Motion Planning with Anytime Refinement for Manipulation
Itamar Mishani, Hayden Feddock, Maxim Likhachev
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Distributed Multi-Robot Online Sampling with Budget Constraints
Azin Shamshirgaran, Sandeep Manjanna, Stefano Carpin
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Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow
Zhenyu Jiang, Hanwen Jiang, Yuke Zhu
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TVFusionGAN: Thermal-Visible Image Fusion Based on Multi-Level Adversarial Network Strategy
Guoyu Lu
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Hierarchical Experience-Informed Navigation for Multi-Modal Quadrupedal Rebar Grid Traversal
Maxwell Asselmeier, Evgeniia Ivanova, Ziyi Zhou, Patricio Vela, Ye Zhao
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Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models
Alex LaGrassa, Moonyoung Lee, Oliver Kroemer
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Diffusion-Based Point Cloud Super-Resolution for mmWave Radar Data
kai luan, Chenghao Shi, Neng Wang, Yuwei Cheng, Huimin Lu, Xieyuanli Chen
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1 kHz Behavior Tree for Self-Adaptable Tactile Insertion
Yansong Wu, Fan Wu, Lingyun Chen, Kejia Chen, Samuel Schneider, Lars Johannsmeier, Zhenshan Bing, Fares Abu-Dakka, Alois Knoll, Sami Haddadin
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Increasing SLAM Pose Accuracy by Ground-To-Satellite Image Registration
Yanhao Zhang, Yujiao Shi, Shan Wang, Ankit Vora, Akhil Perincherry, Yongbo Chen, Hongdong Li
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Multi-Resolution Planar Region Extraction for Uneven Terrains
Yinghan Sun, Linfang Zheng, Hua Chen, Wei Zhang
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Virtual Borders in 3D: Defining a Drone�s Movement Space Using Augmented Reality
Malte Riechmann, André Kirsch, Matthias König, Jan Rexilius
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High-Throughput Visual Nano-Drone to Nano-Drone Relative Localization Using Onboard Fully Convolutional Networks
Luca Crupi, Alessandro Giusti, Daniele Palossi
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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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VIDAR: Data Quality Improvement for Monocular 3D Reconstruction through In-Situ Visual Interaction
Han Gao, Yating Liu, Fang Cao, Hao Wu, Fengyuan Xu, Sheng Zhong
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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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WayFASTER: A Self-Supervised Traversability Prediction for Increased Navigation Awareness
Mateus Valverde Gasparino, Arun Narenthiran Sivakumar, Girish Chowdhary
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Expert Composer Policy: Scalable Skill Repertoire for Quadruped Robots
Guilherme Henrique Galelli Christmann, Ying-Sheng Luo, Wei-Chao Chen
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BroadBEV: Collaborative LiDAR-Camera Fusion for Broad-Sighted Bird's Eye View Map Construction
Minsu Kim, Giseop Kim, Kyong Hwan Jin, Sunwook Choi
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Continual Driving Policy Optimization with Closed-Loop Individualized Curricula
Haoyi Niu, Yizhou Xu, Xingjian Jiang, Jianming HU
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Improved Yolov5: HIC-Yolov5 for Small Object Detection
SHIYI TANG, YINI FANG, Shu Zhang
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LocNDF: Neural Distance Field Mapping for Robot Localization
Louis Wiesmann, Tiziano Guadagnino, Ignacio Vizzo, Nicky Zimmerman, Yue Pan, Haofei Kuang, Jens Behley, Cyrill Stachniss
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Mutual Information-Calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge
Alex Christopher Stutts, Danilo Erricolo, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
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Asymptotically-Optimal Multi-Robot Visibility-Based Pursuit-Evasion
Nicholas Stiffler, Jason O'Kane
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Bio-Inspired Gait Transitions for Quadruped Locomotion
Joseph Elliot Humphreys, Jun Li, Yuhui Wan, Haibo Gao, Chengxu Zhou
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Multi-Category Decomposition Editing Network for the Accurate Visual Inspection of Texture Defects
He Zhu, Li Junyi, Hua Yang, Jiankui Chen, Zhouping Yin
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NNgTL: Neural Network Guided Optimal Temporal Logic Task Planning for Mobile Robots
Ruijia Liu, Shaoyuan Li, Xiang Yin
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A Tube-Based Reinforcement Learning Approach for Optimal Motion Planning in Unknown Workspaces
Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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Hydrodynamic Interactions in Schooling Fish: Prioritizing Real Fish Kinematics Over Travelling-Wavy Undulation
Li-Ming Chao, Liang Li
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Robot Interaction Behavior Generation Based on Social Motion Forecasting for Human-Robot Interaction
Esteve Valls Mascaro, Yashuai Yan, Dongheui Lee
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A Generalized Acquisition Function for Preference-Based Reward Learning
Evan Ellis, Gaurav Ghosal, Stuart Jonathan Russell, Anca Dragan, Erdem Bıyık
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Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural Radiance Fields
Jianxiong Shen, Ruijie Ren, Adrià Ruiz, Francesc Moreno-Noguer
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Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving
Matt Schmittle, Rohan Baijal, Brian Hou, Siddhartha Srinivasa, Byron Boots
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System Calibration of a Field Phenotyping Robot with Multiple High-Precision Profile Laser Scanners
Felix Esser, Gereon Tombrink, André Cornelißen, Lasse Klingbeil, Heiner kuhlmann
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Simplified Continuous High Dimensional Belief Space Planning with Adaptive Probabilistic Belief-Dependent Constraints
Andrey Zhitnikov, Vadim Indelman
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Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances
Nicholas Rober, Karan Mahesh, Tyler Paine, Max Greene, Steven Lee, Sildomar Monteiro, Michael Benjamin, Jonathan How
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Automatic Loading of Unknown Material with a Wheel Loader Using Reinforcement Learning
Daniel Eriksson, Reza Ghabcheloo, Marcus Geimer
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Learning Risk-Aware Quadrupedal Locomotion Using Distributional Reinforcement Learning
Lukas Schneider, Jonas Frey, Takahiro Miki, Marco Hutter
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Multi-query TDSP for Path Planning in Time-Varying Flow Fields
James Ju Heon Lee, Chanyeol Yoo, Stuart David Anstee, Robert Fitch
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Gathering Data from Risky Situations with Pareto-Optimal Trajectories
Brennan Brodt, Alyssa Pierson
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SONIC: Sonar Image Correspondence Using Pose Supervised Learning for Imaging Sonars
Samiran Gode, Akshay Hinduja, Michael Kaess
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Surgical Gym: A High-Performance GPU-Based Platform for Reinforcement Learning with Surgical Robots
Samuel Schmidgall, Axel Krieger, Jason Eshraghian
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V2CE: Video to Continuous Events Simulator
Zhongyang Zhang, Shuyang Cui, Kaidong Chai, Haowen Yu, Subhasis Dasgupta, UPAL MAHBUB, Tauhidur Rahman
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Belief Scene Graphs: Expanding Partial Scenes with Objects through Computation of Expectation
Mario Alberto Valdes Saucedo, Akash Patel, Akshit Saradagi, Christoforos Kanellakis, George Nikolakopoulos
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WayIL: Image-Based Indoor Localization with Wayfinding Maps
Obin Kwon, Dongki Jung, Youngji Kim, Soohyun Ryu, Suyong Yeon, Songhwai Oh, Donghwan Lee
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ChatAdp: ChatGPT-Powered Adaptation System for Human-Robot Interaction
Zhidong Su, Weihua Sheng
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Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching
Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson
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