Zobrazeno 1 - 10
of 76 074
pro vyhledávání: '"Zachary, P."'
Autor:
Tam, Zachary, Dharmarajan, Karthik, Qiu, Tianshuang, Avigal, Yahav, Ichnowski, Jeffrey, Goldberg, Ken
In logistics, the ability to quickly compute and execute pick-and-place motions from bins is critical to increasing productivity. We present Bin-Optimized Motion Planning (BOMP), a motion planning framework that plans arm motions for a six-axis indus
Externí odkaz:
http://arxiv.org/abs/2411.00221
Autor:
Roch, Zachary, Akula, Ramya
The full implementation of the metaverse requires the integration of the physical and digital worlds. Applications built on Distributed Ledger Technology (DLT) hold the power to move society closer towards the ideal metaverse through innovations like
Externí odkaz:
http://arxiv.org/abs/2411.00076
Autor:
Wei, Yuxiang, Cassano, Federico, Liu, Jiawei, Ding, Yifeng, Jain, Naman, Mueller, Zachary, de Vries, Harm, von Werra, Leandro, Guha, Arjun, Zhang, Lingming
Instruction tuning is a supervised fine-tuning approach that significantly improves the ability of large language models (LLMs) to follow human instructions. We propose SelfCodeAlign, the first fully transparent and permissive pipeline for self-align
Externí odkaz:
http://arxiv.org/abs/2410.24198
In this work, we investigate the causal reasoning abilities of large language models (LLMs) through the representative problem of inferring causal relationships from narratives. We find that even state-of-the-art language models rely on unreliable sh
Externí odkaz:
http://arxiv.org/abs/2410.23884
Large Language Models (LLMs) have demonstrated remarkable ability in long-horizon Task and Motion Planning (TAMP) by translating clear and straightforward natural language problems into formal specifications such as the Planning Domain Definition Lan
Externí odkaz:
http://arxiv.org/abs/2410.22225
Autor:
Kokolis, Apostolos, Kuchnik, Michael, Hoffman, John, Kumar, Adithya, Malani, Parth, Ma, Faye, DeVito, Zachary, Sengupta, Shubho, Saladi, Kalyan, Wu, Carole-Jean
Reliability is a fundamental challenge in operating large-scale machine learning (ML) infrastructures, particularly as the scale of ML models and training clusters continues to grow. Despite decades of research on infrastructure failures, the impact
Externí odkaz:
http://arxiv.org/abs/2410.21680
Cooperative manipulation tasks impose various structure-, task-, and robot-specific constraints on mobile manipulators. However, current methods struggle to model and solve these myriad constraints simultaneously. We propose a twofold solution: first
Externí odkaz:
http://arxiv.org/abs/2410.21630
Autor:
Zhang, Margaret J., Pradhan, Anvay A., Brei, Zachary, Bu, Xiangyun, Ye, Xiang, Jamal, Saima, Lim, Chae Woo, Huang, Xiaonan, Moore, Talia Y.
Tails serve various functions in both robotics and biology, including expression, grasping, and defense. The vertebrate tails associated with these functions exhibit diverse patterns of vertebral lengths, but the precise mechanisms linking form to fu
Externí odkaz:
http://arxiv.org/abs/2410.21445
Autor:
Middleton, Alicia, Choi, Steve K., Walker, Samantha, Austermann, Jason, Burgoyne, James R., Butler, Victoria, Chapman, Scott C., Crites, Abigail T., Duell, Cody J., Freundt, Rodrigo G., Huber, Anthony I., Huber, Zachary B., Hubmayr, Johannes, Keller, Ben, Lin, Lawrence T., Niemack, Michael D., Patel, Darshan, Sinclair, Adrian K., Smith, Ema, Vaskuri, Anna, Vavagiakis, Eve M., Vissers, Michael, Wang, Yuhan, Wheeler, Jordan
Prime-Cam, one of the primary instruments for the Fred Young Submillimeter Telescope (FYST) developed by the CCAT Collaboration, will house up to seven instrument modules, with the first operating at 280 GHz. Each module will include three arrays of
Externí odkaz:
http://arxiv.org/abs/2410.21396
For a finite group $G$, the vertices of the prime graph $\Gamma(G)$ are the primes that divide $|G|$, and two vertices $p$ and $q$ are connected by an edge if there is an element of order $pq$ in $G$. Prime graphs of solvable groups have been classif
Externí odkaz:
http://arxiv.org/abs/2410.21063