Zobrazeno 1 - 10
of 2 613
pro vyhledávání: '"Panitch, A"'
Autor:
Fu, Letian, Huang, Huang, Datta, Gaurav, Chen, Lawrence Yunliang, Panitch, William Chung-Ho, Liu, Fangchen, Li, Hui, Goldberg, Ken
We explore how to enhance next-token prediction models to perform in-context imitation learning on a real robot, where the robot executes new tasks by interpreting contextual information provided during the input phase, without updating its underlyin
Externí odkaz:
http://arxiv.org/abs/2408.15980
Autor:
Adebola, Simeon, Sadjadpour, Tara, El-Refai, Karim, Panitch, Will, Ma, Zehan, Lin, Roy, Qiu, Tianshuang, Ganti, Shreya, Le, Charlotte, Drake, Jaimyn, Goldberg, Ken
In Gasket Assembly, a deformable gasket must be aligned and pressed into a narrow channel. This task is common for sealing surfaces in the manufacturing of automobiles, appliances, electronics, and other products. Gasket Assembly is a long-horizon, h
Externí odkaz:
http://arxiv.org/abs/2408.12593
Autor:
Moghani, Masoud, Doorenbos, Lars, Panitch, William Chung-Ho, Huver, Sean, Azizian, Mahdi, Goldberg, Ken, Garg, Animesh
In this work, we present SuFIA, the first framework for natural language-guided augmented dexterity for robotic surgical assistants. SuFIA incorporates the strong reasoning capabilities of large language models (LLMs) with perception modules to imple
Externí odkaz:
http://arxiv.org/abs/2405.05226
Autor:
Yu, Qinxi, Moghani, Masoud, Dharmarajan, Karthik, Schorp, Vincent, Panitch, William Chung-Ho, Liu, Jingzhou, Hari, Kush, Huang, Huang, Mittal, Mayank, Goldberg, Ken, Garg, Animesh
Physics-based simulations have accelerated progress in robot learning for driving, manipulation, and locomotion. Yet, a fast, accurate, and robust surgical simulation environment remains a challenge. In this paper, we present ORBIT-Surgical, a physic
Externí odkaz:
http://arxiv.org/abs/2404.16027
Autor:
Hari, Kush, Kim, Hansoul, Panitch, Will, Srinivas, Kishore, Schorp, Vincent, Dharmarajan, Karthik, Ganti, Shreya, Sadjadpour, Tara, Goldberg, Ken
We present STITCH: an augmented dexterity pipeline that performs Suture Throws Including Thread Coordination and Handoffs. STITCH iteratively performs needle insertion, thread sweeping, needle extraction, suture cinching, needle handover, and needle
Externí odkaz:
http://arxiv.org/abs/2404.05151
Autor:
Panitch, Samuel, Park, Sunghyuk
We construct the 3d quantum trace map, a homomorphism from the Kauffman bracket skein module of an ideally triangulated 3-manifold to its (square root) quantum gluing module, thereby giving a precise relationship between the two quantizations of the
Externí odkaz:
http://arxiv.org/abs/2403.12850
Autor:
Fu, Letian, Datta, Gaurav, Huang, Huang, Panitch, William Chung-Ho, Drake, Jaimyn, Ortiz, Joseph, Mukadam, Mustafa, Lambeta, Mike, Calandra, Roberto, Goldberg, Ken
Touch is an important sensing modality for humans, but it has not yet been incorporated into a multimodal generative language model. This is partially due to the difficulty of obtaining natural language labels for tactile data and the complexity of a
Externí odkaz:
http://arxiv.org/abs/2402.13232
Autor:
Schorp, Vincent, Panitch, Will, Shivakumar, Kaushik, Viswanath, Vainavi, Kerr, Justin, Avigal, Yahav, Fer, Danyal M, Ott, Lionel, Goldberg, Ken
Accurate 3D sensing of suturing thread is a challenging problem in automated surgical suturing because of the high state-space complexity, thinness and deformability of the thread, and possibility of occlusion by the grippers and tissue. In this work
Externí odkaz:
http://arxiv.org/abs/2307.06845
Autor:
Dharmarajan, Karthik, Panitch, Will, Jiang, Muyan, Srinivas, Kishore, Shi, Baiyu, Avigal, Yahav, Huang, Huang, Low, Thomas, Fer, Danyal, Goldberg, Ken
Vascular shunt insertion is a fundamental surgical procedure used to temporarily restore blood flow to tissues. It is often performed in the field after major trauma. We formulate a problem of automated vascular shunt insertion and propose a pipeline
Externí odkaz:
http://arxiv.org/abs/2211.02293
Autor:
Panitch, Vida, author
Publikováno v:
Exploitation : Perspectives from Philosophy, Politics, and Economics, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780190256951.003.0012
