Zobrazeno 1 - 10
of 4 505
pro vyhledávání: '"PATTERSON, A. J."'
Sampling-based motion planning methods, while effective in high-dimensional spaces, often suffer from inefficiencies due to irregular sampling distributions, leading to suboptimal exploration of the configuration space. In this paper, we propose an a
Externí odkaz:
http://arxiv.org/abs/2410.03909
Soft robotics focuses on designing robots with highly deformable materials, allowing them to adapt and operate safely and reliably in unstructured and variable environments. While soft robots offer increased compliance over rigid body robots, their p
Externí odkaz:
http://arxiv.org/abs/2408.09275
While much work has been done recently in the realm of model-based control of soft robots and soft-rigid hybrids, most works examine robots that have an inherently serial structure. While these systems have been prevalent in the literature, there is
Externí odkaz:
http://arxiv.org/abs/2311.05362
Incorporating both flexible and rigid components in robot designs offers a unique solution to the limitations of traditional rigid robotics by enabling both compliance and strength. This paper explores the challenges and solutions for controlling sof
Externí odkaz:
http://arxiv.org/abs/2311.03189
Limited access to computing resources and training data poses significant challenges for individuals and groups aiming to train and utilize predictive machine learning models. Although numerous publicly available machine learning models exist, they a
Externí odkaz:
http://arxiv.org/abs/2307.15168
Artificial Intelligence (AI) is poised to enable a new leap in the creation of scholarly content. New forms of engagement with AI systems, such as collaborations with large language models like GPT-3, offer affordances that will change the nature of
Externí odkaz:
http://arxiv.org/abs/2305.11058
Autor:
Keh, Sedrick Scott, Shi, Zheyuan Ryan, Patterson, David J., Bhagabati, Nirmal, Dewan, Karun, Gopala, Areendran, Izquierdo, Pablo, Mallick, Debojyoti, Sharma, Ambika, Shrestha, Pooja, Fang, Fei
Non-governmental organizations for environmental conservation have a significant interest in monitoring conservation-related media and getting timely updates about infrastructure construction projects as they may cause massive impact to key conservat
Externí odkaz:
http://arxiv.org/abs/2305.01503
As AI systems proliferate, their greenhouse gas emissions are an increasingly important concern for human societies. We analyze the emissions of several AI systems (ChatGPT, BLOOM, DALL-E2, Midjourney) relative to those of humans completing the same
Externí odkaz:
http://arxiv.org/abs/2303.06219
Although soft robots show safer interactions with their environment than traditional robots, soft mechanisms and actuators still have significant potential for damage or degradation particularly during unmodeled contact. This article introduces a fee
Externí odkaz:
http://arxiv.org/abs/2208.01547
Autor:
Furia, Philip, author, Patterson, Laurie J., author
Externí odkaz:
https://doi.org/10.1093/oso/9780190906467.001.0001