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Robot Operating System 2: Design, architecture, and uses in the wild [PDF]
Science Robotics, 2022 The next chapter of the robotics revolution is well underway with the deployment of robots for a broad range of commercial use cases. Even in a myriad of applications and environments, there exists a common vocabulary of components that robots share—the ...
Steven Macenski +2 more
exaly +2 more sources
Learning ambidextrous robot grasping policies
Science Robotics, 2019 An ambidextrous grasping policy trained on synthetic datasets consistently clears bins of up to 25 novel objects with a physical robot. Universal picking (UP), or reliable robot grasping of a diverse range of novel objects from heaps, is a grand ...
Jeffrey Mahler +2 more
exaly +2 more sources
Insect-scale fast moving and ultrarobust soft robot
Science Robotics, 2019 An insect-scale soft robot has fast relative speed of motion, high load-carrying capability, and exceptional robustness. Mobility and robustness are two important features for practical applications of robots. Soft robots made of polymeric materials have
Yichuan Wu, Justin K Yim, Jiaming Liang
exaly +2 more sources
BridgeData V2: A Dataset for Robot Learning at Scale [PDF]
Conference on Robot Learning, 2023 We introduce BridgeData V2, a large and diverse dataset of robotic manipulation behaviors designed to facilitate research on scalable robot learning. BridgeData V2 contains 60,096 trajectories collected across 24 environments on a publicly available low ...
H. Walke +13 more
semanticscholar +1 more source
R3M: A Universal Visual Representation for Robot Manipulation [PDF]
Conference on Robot Learning, 2022 We study how visual representations pre-trained on diverse human video data can enable data-efficient learning of downstream robotic manipulation tasks.
Suraj Nair +4 more
semanticscholar +1 more source
Conference on Robot Learning, 2023 Parkour is a grand challenge for legged locomotion that requires robots to overcome various obstacles rapidly in complex environments. Existing methods can generate either diverse but blind locomotion skills or vision-based but specialized skills by ...
Ziwen Zhuang +6 more
semanticscholar +1 more source
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models [PDF]
IEEE International Conference on Robotics and Automation, 2022 Task planning can require defining myriad domain knowledge about the world in which a robot needs to act. To ameliorate that effort, large language models (LLMs) can be used to score potential next actions during task planning, and even generate action ...
Ishika Singh +8 more
semanticscholar +1 more source
Real-World Robot Learning with Masked Visual Pre-training [PDF]
Conference on Robot Learning, 2022 In this work, we explore self-supervised visual pre-training on images from diverse, in-the-wild videos for real-world robotic tasks. Like prior work, our visual representations are pre-trained via a masked autoencoder (MAE), frozen, and then passed into
Ilija Radosavovic +5 more
semanticscholar +1 more source
Modus komunikasi orang Manggarai dengan Mori’n Agu Ngara’n dalam ritual Seser Tompok
JPPI (Jurnal Penelitian Pendidikan Indonesia), 2023 Penelitian ini bertujuan menganalisis kekuatan bunyi sebagai modus komunikasi orang Manggarai dengan Mori’n agu Ngara’n (Maha Pemilik). Teori yang digunakan dalam penelitian ini semiotika perspektif Charles Sanders Peirce.
Marselus Robot
doaj +1 more source
Core Challenges of Social Robot Navigation: A Survey [PDF]
ACM Trans. Hum. Robot Interact., 2021 Robot navigation in crowded public spaces is a complex task that requires addressing a variety of engineering and human factors challenges. These challenges have motivated a great amount of research resulting in important developments for the fields of ...
Christoforos Mavrogiannis +6 more
semanticscholar +1 more source