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1161 result(s) for “Learning from Demonstration” Page 8 of 24
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HILMA-Res: A General Hierarchical Framework Via Residual RL for Combining Quadrupedal Locomotion and Manipulation
Xiaoyu Huang, Qiayuan Liao, Yiming Ni, Zhongyu Li, Laura Smith, Sergey Levine, Xue Bin Peng, Koushil Sreenath
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Predictive Coding for Decision Transformer
Tung Luu, Donghoon Lee, Chang D. Yoo
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A Contact Model Based on Denoising Diffusion to Learn Variable Impedance Control for Contact-Rich Manipulation
Masashi Okada, Mayumi Komatsu, Tadahiro Taniguchi
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AGL-NET: Aerial-Ground Cross-Modal Global Localization with Varying Scales
Tianrui Guan, Ruiqi Xian, Xijun Wang, Xiyang Wu, Mohamed Elnoor, Daeun Song, Dinesh Manocha
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Adaptive Planning with Generative Models under Uncertainty
Pascal Jutras-Dube, Ruqi Zhang, Aniket Bera
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Maneuver-Conditioned Decision Transformer for Tactical In-Flight Decision-Making
Hoseong Jung, Yong-Duk Kim, Youngjung Kim
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DeepMIF: Deep Monotonic Implicit Fields for Large-Scale LiDAR 3D Mapping
Kutay Yilmaz, Matthias Niessner, Anastasiia Kornilova, Alexey Artemov
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AutoNeRF: Training Implicit Scene Representations with Autonomous Agents
Pierre Marza, Laetitia Matignon, Olivier Simonin, Dhruv Batra, Christian Wolf, Devendra Singh Chaplot
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SocialNav-FTI: Field-Theory-Inspired Social-Aware Navigation Framework Based on Human Behavior and Social Norms
Siyi Lu, Ping Zhong, Shuqi Ye, Bolei Chen, Sheng Yu, Run Liu
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WSCLoc: Weakly-Supervised Sparse-View Camera Relocalization
jialu wang, kaichen zhou, Andrew Markham, Niki Trigoni
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OW3Det: Toward Open-World 3D Object Detection for Autonomous Driving
Wenfei Hu, Weikai Lin, Hongyu Fang, Yi Wang, Dingsheng Luo
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Predicting Long-Term Human Behaviors in Discrete Representations Via Physics-Guided Diffusion
Zhitian Zhang, Anjian Li, Angelica Lim, Mo Chen
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Bayesian Floor Field: Transferring People Flow Predictions across Environments
Francesco Verdoja, Tomasz Piotr Kucner, Ville Kyrki
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Towards Designing a Low-Cost Humanoid Robot with Flex Sensors-Based Movement
Muhammad H. Al Omoush, Sameer Kishore, Tracey Mehigan
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NFPDE: Normalizing Flow-Based Parameter Distribution Estimation for Offline Adaptive Domain Randomization
Rin Takano, Kei Takaya, Hiroyuki Oyama
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RPMArt: Towards Robust Perception and Manipulation for Articulated Objects
Junbo Wang, Wenhai Liu, Qiaojun Yu, Yang You, Liu Liu, Weiming Wang, Cewu Lu
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A Point-Based Approach to Efficient LiDAR Multi-Task Perception
Christopher Lang, Alexander Braun, Lars Schillingmann, Abhinav Valada
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A Deep Signed Directional Distance Function for Shape Representation
Ehsan Zobeidi, Nikolay Atanasov
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CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers
Alex Ranne, Liming Kuang, Yordanka Velikova, Nassir Navab, Ferdinando Rodriguez y Baena
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Rotograb: Combining Biomimetic Hands with Industrial Grippers Using a Rotating Thumb
Arnaud Bersier, Matteo Leonforte, Alessio Vanetta, Sarah Lia Andrea Wotke, Andrea Nappi, Yifan Zhou, Sebastiano Oliani, Alexander M. Kübler, Robert Kevin Katzschmann
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Enhancing Leg Odometry in Legged Robots with Learned Contact Bias: An LSTM Recurrent Neural Network Approach
Yaru Gu, Ze Liu, Ting Zou
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Hyp2Nav: Hyperbolic Planning and Curiosity for Crowd Navigation
Guido Maria D'Amely di Melendugno, Alessandro Flaborea, Pascal Mettes, Fabio Galasso
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DIVE: Deep Inertial-Only Velocity Aided Estimation for Quadrotors
Angad Bajwa, Charles Champagne Cossette, Mohammed Ayman Shalaby, James Richard Forbes
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Gravity-Aware Grasp Generation with Implicit Grasp Mode Selection for Underactuated Hands
Tianyi Ko, Takuya Ikeda, Thomas Stewart, Robert Lee, Koichi Nishiwaki
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Gradual Receptive Expansion Using Vision Transformer for Online 3D Bin Packing
Minjae Kang, Hogun Kee, Yoseph Park, Junseok Kim, Jaeyeon Jeong, Geunje Cheon, Jaewon Lee, Songhwai Oh
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Domain Randomization-Free Sim-To-Real : An Attention-Augmented Memory Approach for Robotic Tasks
Jia Qu, Shun Otsubo, Tomoya Yamanokuchi, Takamitsu Matsubara, Shotaro Miwa
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Object Instance Retrieval in Assistive Robotics: Leveraging Fine-Tuned SimSiam with Multi-View Images Based on 3D Semantic Map
Taichi Sakaguchi, Akira Taniguchi, Yoshinobu Hagiwara, Lotfi El Hafi, Shoichi Hasegawa, Tadahiro Taniguchi
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All-Day Depth Completion
Vadim Ezhov, Hyoungseob Park, Zhaoyang Zhang, Rishi Upadhyay, Howard Zhang, Chethan Chinder Chandrappa, Achuta Kadambi, Yunhao Ba, Julie Dorsey, Alex Wong
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Lane Segmentation Data Augmentation for Heavy Rain Sensor Blockage Using Realistically Translated Raindrop Images and CARLA Simulator
Jinu Pahk, Seongjeong Park, Jungseok Shim, Sungho Son, Jungki Lee, Jinung An, Yongseob Lim, GyeungHo Choi
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Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative Driving
Shengchao Yan, Lukas Maximilian König, Wolfram Burgard
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Decentralized Communication-Maintained Coordination for Multi-Robot Exploration: Achieving Connectivity and Adaptability
Wei Tang, Chao Li, Jun Wu, Qiuguo Zhu
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IR2: Implicit Rendezvous for Robotic Exploration Teams under Sparse Intermittent Connectivity
Derek Ming Siang Tan, Yixiao Ma, Jingsong Liang, Yi Cheng Chng, Yuhong Cao, Guillaume Adrien Sartoretti
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On the Modularity of Elementary Dynamic Actions
Moses Nah, Johannes Lachner, Federico Tessari, Neville Hogan
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Deeper Introspective SLAM: How to Avoid Tracking Failures Over Longer Routes?
Kanwal Naveed, Muhammad Latif Anjum, Wajahat Hussain, DONGHWAN LEE
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NeSyMoF: A Neuro-Symbolic Model for Motion Forecasting
Achref Doula, Huijie Yin, Max Mühlhäuser, Alejandro Sanchez Guinea
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Adversarial Attack on Trajectory Prediction for Autonomous Vehicles with Generative Adversarial Networks
Jiping Fan, Zhenpo Wang, Guoqiang Li
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RoboGuardZ: A Scalable Zero-Shot Framework for Zero-Day Malware Detection in Robots
UPINDER KAUR, Berkay Celik, Richard Voyles
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Multi-Agent Behavior Retrieval: Retrieval-Augmented Policy Training for Cooperative Push Manipulation by Mobile Robots
So Kuroki, Mai Nishimura, Tadashi Kozuno
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A Neurosymbolic Approach to Adaptive Feature Extraction in SLAM
Yasra Chandio, Momin Ahmad Khan, Khotso Selialia, Luis Antonio Garcia, Joseph DeGol, Fatima M Anwar
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Real-Time Constrained Tracking Control of Redundant Manipulators Using a Koopman - Zeroing Neural Network Framework
Chandan Kumar Sah, Rajpal Singh, Jishnu Keshavan
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Context-Aware Conversation Adaptation for Human-Robot Interaction
Zhidong Su, Weihua Sheng
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Optimal Robotic Assembly Sequence Planning (ORASP): A Sequential Decision-Making Approach
Kartik Nagpal, Negar Mehr
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Driving from Vision through Differentiable Optimal Control
Flavia Sofia Acerbo, Jan Swevers, Tinne Tuytelaars, Son Tong
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Stick Roller: Precise In-Hand Stick Rolling with a Sample-Efficient Tactile Model
Yipai Du, Pokuang Zhou, Michael Yu Wang, Wenzhao Lian, Yu She
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Leveraging Symmetry in RL-Based Legged Locomotion Control
Zhi Su, Xiaoyu Huang, Daniel Felipe Ordonez Apraez, Yunfei Li, Zhongyu Li, Qiayuan Liao, Massimiliano Pontil, Claudio Semini, Giulio Turrisi, Yi Wu, Koushil Sreenath
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Sharing Attention Mechanism in V-SLAM: Relative Pose Estimation with Messenger Tokens on Small Datasets
Dun Dai, Quan Quan, Kai-Yuan Cai
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Ensembling Prioritized Hybrid Policies for Multi-Agent Pathfinding
Huijie Tang, Federico Berto, Jinkyoo Park
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Multi-Task Real-Robot Data with Gaze Attention for Dual-Arm Fine Manipulation
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
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Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile Robots
Martin Liao, Shuhao Kang, Li Jianping, Yang Liu, Yun Liu, Zhen Dong, Bisheng Yang, Xieyuanli Chen
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Can Reasons Help Improve Pedestrian Intent Estimation? a Cross-Modal Approach
Vaishnavi Khindkar, Vineeth Balasubramanian, Chetan Arora, Anbumani Subramanian, C.V. Jawahar
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