Výsledky vyhľadávania - "Data Sets for Robot Learning"

Interactive Language: Talking to Robots in Real Time Autor Lynch, Corey, Wahid, Ayzaan, Tompson, Jonathan, Ding, Tianli, Betker, James, Baruch, Robert, Armstrong, Travis, Florence, Pete

“…We present a framework for building interactive, real-time, natural language-instructable robots in the real world, and we open source related assets (dataset,…”
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OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition Autor Ma, Junyi, Zhang, Jun, Xu, Jintao, Ai, Rui, Gu, Weihao, Chen, Xieyuanli

“…Place recognition is an important capability for autonomously navigating vehicles operating in complex environments and under changing conditions. It is a key…”
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CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks Autor Mees, Oier, Hermann, Lukas, Rosete-Beas, Erick, Burgard, Wolfram Burgard

“…General-purpose robots coexisting with humans in their environment must learn to relate human language to their perceptions and actions to be useful in a range…”
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DSEC: A Stereo Event Camera Dataset for Driving Scenarios Autor Gehrig, Mathias, Aarents, Willem, Gehrig, Daniel, Scaramuzza, Davide

“…Once an academic venture, autonomous driving has received unparalleled corporate funding in the last decade. Still, operating conditions of current autonomous…”
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VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM Autor Gao, Ling, Liang, Yuxuan, Yang, Jiaqi, Wu, Shaoxun, Wang, Chenyu, Chen, Jiaben, Kneip, Laurent

“…Event cameras have recently gained in popularity as they hold strong potential to complement regular cameras in situations of high dynamics or challenging…”
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HAPTR2: Improved Haptic Transformer for legged robots’ terrain classification Autor Bednarek, Michał, Nowicki, Michał R., Walas, Krzysztof

“…The haptic terrain classification is an essential component of a mobile walking robot control system, ensuring proper gait adaptation to the changing…”
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MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets Autor Chamzas, Constantinos, Quintero-Pena, Carlos, Kingston, Zachary, Orthey, Andreas, Rakita, Daniel, Gleicher, Michael, Toussaint, Marc, Kavraki, Lydia E.

“…Recently, there has been a wealth of development in motion planning for robotic manipulation-new motion planners are continuously proposed, each with their own…”
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Generation of GelSight Tactile Images for Sim2Real Learning Autor Gomes, Daniel Fernandes, Paoletti, Paolo, Luo, Shan

“…Most current works in Sim2Real learning for robotic manipulation tasks leverage camera vision that may be significantly occluded by robot hands during the…”
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ViViD++ : Vision for Visibility Dataset Autor Lee, Alex Junho, Cho, Younggun, Shin, Young-sik, Kim, Ayoung, Myung, Hyun

“…In this letter, we present a dataset capturing diverse visual data formats that target varying luminance conditions. While RGB cameras provide nourishing and…”
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Benchmarking the Sim-to-Real Gap in Cloth Manipulation Autor Blanco-Mulero, David, Barbany, Oriol, Alcan, Gokhan, Colome, Adria, Torras, Carme, Kyrki, Ville

“…Realistic physics engines play a crucial role for learning to manipulate deformable objects such as garments in simulation. By doing so, researchers can…”
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Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items Autor Downs, Laura, Francis, Anthony, Koenig, Nate, Kinman, Brandon, Hickman, Ryan, Reymann, Krista, McHugh, Thomas B., Vanhoucke, Vincent

“…Interactive 3D simulations have enabled break-throughs in robotics and computer vision, but simulating the broad diversity of environments needed for deep…”
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Scalable Scene Flow From Point Clouds in the Real World Autor Jund, Philipp, Sweeney, Chris, Abdo, Nichola, Chen, Zhifeng, Shlens, Jonathon

“…Autonomous vehicles operate in highly dynamic environments necessitating an accurate assessment of which aspects of a scene are moving and where they are…”
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SACSoN: Scalable Autonomous Control for Social Navigation Autor Hirose, Noriaki, Shah, Dhruv, Sridhar, Ajay, Levine, Sergey

“…Machine learning provides a powerful tool for building socially compliant robotic systems that go beyond simple predictive models of human behavior. By…”
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Distributionally Robust Policy Learning via Adversarial Environment Generation Autor Ren, Allen Z., Majumdar, Anirudha

“…Our goal is to train control policies that generalize well to unseen environments. Inspired by the Distributionally Robust Optimization (DRO) framework, we…”
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MotIF: Motion Instruction Fine-Tuning Autor Hwang, Minyoung, Hejna, Joey, Sadigh, Dorsa, Bisk, Yonatan

“…While success in many robotics tasks can be determined by only observing the final state and how it differs from the initial state - e.g., if an apple is…”
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Tidiness Score-Guided Monte Carlo Tree Search for Visual Tabletop Rearrangement Autor Kee, Hogun, Oh, Wooseok, Kang, Minjae, Ahn, Hyemin, Oh, Songhwai

“…In this letter, we present the tidiness score-guided Monte Carlo tree search (TSMCTS), a novel framework designed to address the tabletop tidying up problem…”
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Grasping a Handful: Sequential Multi-Object Dexterous Grasp Generation Autor Lu, Haofei, Dong, Yifei, Weng, Zehang, Pokorny, Florian T., Lundell, Jens, Kragic, Danica

“…We introduce the sequential multi-object robotic grasp sampling algorithm SeqGrasp that can robustly synthesize stable grasps on diverse objects using the…”
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Informed Federated Learning to Train a Robotic Arm Inverse Dynamic Model Autor Jimenez-Perera, Gabriel, Valencia-Vidal, Brayan, Luque, Niceto R., Ros, Eduardo, Barranco, Francisco

“…Access to real-world data in robotics domains is often challenging due to restrictions on data sharing and limited availability. Although privacy and…”
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HHI-Assist: A Dataset and Benchmark of Human-Human Interaction in Physical Assistance Scenario Autor Saadatnejad, Saeed, Hosseininejad, Reyhaneh, Barreiros, Jose, Tsui, Katherine M., Alahi, Alexandre

“…The increasing labor shortage and aging population underline the need for assistive robots to support human care recipients. To enable safe and responsive…”
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LEMMA: Learning Language-Conditioned Multi-Robot Manipulation Autor Gong, Ran, Gao, Xiaofeng, Gao, Qiaozi, Shakiah, Suhaila, Thattai, Govind, Sukhatme, Gaurav S.

“…Complex manipulation tasks often require robots with complementary capabilities to collaborate. We introduce a benchmark for L anguag E -Conditioned M…”
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