M. Ani Hsieh, Ph.D. Kenneth Chaney, Fernando Cladera, Ziyun Wang, Anthony Bisulco, M. Ani Hsieh, Christopher Korpela, Vijay Kumar, Camillo J. Taylor, and Kostas Daniilidis Abstract: We present M3ED, the first multi-sensor event camera dataset focused on high-speed dynamic motions in robotics applications. M3ED provides high-quality synchronized and labeled data from multiple platforms, including ground vehicles, legged robots, and … Read more
Today, we had the pleasure of hosting distinguished guests from the renowned Naval Research Laboratory (NRL): Dr. Ira B. Schwartz, Dr. Jason Hinds, and Dr. George Stantchev.
Y. Wu, T. Z. Jiahao, J. Wang, P. A. Yushkevich, M. A. Hsieh, J. C. Gee Abstract: Deformable image registration (DIR), aiming to find spatial correspondence between images, is one of the most critical problems in the domain of medical image analysis. In this paper, we present a novel, generic, and accurate diffeomorphic image registration … Read more
L. Shen, X. Yu, and M. A. Hsieh Abstract: Mobile agents can form communication networks with links that emerge and disappear over time. Information transmission on such networks must pass through a sequence of links that are activated in a certain chronological order. Uncertainties in a link’s activation or deactivation risk violating the chronological order … Read more
G. Knizhnik, P. Li, X. Yu, and M. A. Hsieh Abstract: We present a flow-based control strategy that enables resource-constrained marine robots to patrol gyre-like flow environments on an orbital trajectory with a periodicity in a given range. The controller does not require a detailed model of the flow field and relies only on the … Read more
T. Z. Jiahao, L. Pan, and M. A. Hsieh Abstract: Understanding decentralized dynamics from collective behaviors in swarms is crucial for informing robot controller designs in artificial swarms and multiagent robotic systems. However, the complexity in agent-to-agent interactions and the decentralized nature of most swarms pose a significant challenge to the extraction of single-robot control … Read more
K. Y. Chee, T. Z. Jiahao and M. A. Hsieh Abstract: In this letter, we consider the problem of deriving and incorporating accurate dynamic models for model predictive control (MPC) with an application to quadrotor control. MPC relies on precise dynamic models to achieve the desired closed-loop performance. However, the presence of uncertainties in complex … Read more
T. Salam, V. Edwards, and M. A. Hsieh Abstract: This letter studies how global dynamics and knowledge of high-level features can inform decision-making for robots in flow-like environments. Specifically, we investigate how coherent sets, an environmental feature found in these environments, inform robot awareness within these scenarios. The proposed approach is an online environmental feature … Read more
Come and see our presentations at ICRA 2022 next week (May 23-27)! Tahiya Salam, Sandeep Manjanna, Ani Hsieh, and Gregory Dudek from McGill University will be hosting the Robotics for Climate Change Workshop on Monday in Room 108B. See here for more information! Kong Yao Chee will be presenting our KNODE-MPC work in the Motion … Read more
Congratulations to Griffon McMahon who recently obtained his ROBO MSE degree. Griffon will be joining the lab in September as a first year PhD student in MEAM.