Zobrazeno 1 - 10
of 437
pro vyhledávání: '"Chen, Letian"'
Optimization for robot control tasks, spanning various methodologies, includes Model Predictive Control (MPC). However, the complexity of the system, such as non-convex and non-differentiable cost functions and prolonged planning horizons often drast
Externí odkaz:
http://arxiv.org/abs/2408.03394
The optimal fingerprint method serves as a potent approach for detecting and attributing climate change. However, its experimental validation encounters challenges due to the intricate nature of climate systems. Here, we experimentally examine the op
Externí odkaz:
http://arxiv.org/abs/2406.11879
Given a smooth asymptotically conical self-expander that is strictly unstable we construct a (singular) Morse flow line of the expander functional that connects it to a stable self-expander. This flow is monotone in a suitable sense and has small sin
Externí odkaz:
http://arxiv.org/abs/2404.08541
Autor:
Paleja, Rohan, Chen, Letian, Niu, Yaru, Silva, Andrew, Li, Zhaoxin, Zhang, Songan, Ritchie, Chace, Choi, Sugju, Chang, Kimberlee Chestnut, Tseng, Hongtei Eric, Wang, Yan, Nageshrao, Subramanya, Gombolay, Matthew
Interpretability in machine learning is critical for the safe deployment of learned policies across legally-regulated and safety-critical domains. While gradient-based approaches in reinforcement learning have achieved tremendous success in learning
Externí odkaz:
http://arxiv.org/abs/2311.10041
The role of correlations in self-organised critical (SOC) phenomena is investigated by studying the Abelian Manna Model (AMM) in two dimensions. Local correlations of the debris left behind after avalanches are destroyed by re-arranging particles on
Externí odkaz:
http://arxiv.org/abs/2311.03513
We study a search and tracking (S&T) problem where a team of dynamic search agents must collaborate to track an adversarial, evasive agent. The heterogeneous search team may only have access to a limited number of past adversary trajectories within a
Externí odkaz:
http://arxiv.org/abs/2306.11301
The need for opponent modeling and tracking arises in several real-world scenarios, such as professional sports, video game design, and drug-trafficking interdiction. In this work, we present Graph based Adversarial Modeling with Mutal Information (G
Externí odkaz:
http://arxiv.org/abs/2306.11168
Autor:
Lee, Kin Man, Krishna, Arjun, Zaidi, Zulfiqar, Paleja, Rohan, Chen, Letian, Hedlund-Botti, Erin, Schrum, Mariah, Gombolay, Matthew
Publikováno v:
HRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction
As high-speed, agile robots become more commonplace, these robots will have the potential to better aid and collaborate with humans. However, due to the increased agility and functionality of these robots, close collaboration with humans can create s
Externí odkaz:
http://arxiv.org/abs/2304.03756
Autor:
Krishna, Arjun, Zaidi, Zulfiqar, Chen, Letian, Paleja, Rohan, Seraj, Esmaeil, Gombolay, Matthew
Agile robotics presents a difficult challenge with robots moving at high speeds requiring precise and low-latency sensing and control. Creating agile motion that accomplishes the task at hand while being safe to execute is a key requirement for agile
Externí odkaz:
http://arxiv.org/abs/2212.14403
Autor:
Chen, Letian
We show existence of ancient solutions to the rescaled mean curvature flow starting from a given asymptotically conical self-expander. These are examples of mean curvature flows coming out of cones that are not self-similar. We also show a strong uni
Externí odkaz:
http://arxiv.org/abs/2212.10798