Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Mitchell, Ian M."'
We introduce ROS-X-Habitat, a software interface that bridges the AI Habitat platform for embodied learning-based agents with other robotics resources via ROS. This interface not only offers standardized communication protocols between embodied agent
Externí odkaz:
http://arxiv.org/abs/2109.07703
Publikováno v:
in IEEE Control Systems Letters, vol. 6, pp. 1142-1147, 2022
We present the design of a motion planning algorithm that ensures safety for an autonomous vehicle. In particular, we consider a multimodal distribution over uncertainties; for example, the uncertain predictions of future trajectories of surrounding
Externí odkaz:
http://arxiv.org/abs/2108.02753
Scalable safety verification of continuous state dynamic systems has been demonstrated through both reachability and viability analyses using parametric set representations; however, these two analyses are not interchangable in practice for such para
Externí odkaz:
http://arxiv.org/abs/1901.01006
This work provides a formalized model-invariant safety system for closed-loop anesthesia that uses feedback from measured data for model falsification to reduce conservatism. The safety system maintains predicted propofol plasma concentrations, as we
Externí odkaz:
http://arxiv.org/abs/1804.06941
Constructing a smart wheelchair on a commercially available powered wheelchair (PWC) platform avoids a host of seating, mechanical design and reliability issues but requires methods of predicting and controlling the motion of a device never intended
Externí odkaz:
http://arxiv.org/abs/1710.11319
Autor:
Wang, Chaoqun, Meng, Lili, She, Sizhen, Mitchell, Ian M., Li, Teng, Tung, Frederick, Wan, Weiwei, Meng, Max. Q. -H., de Silva, Clarence W.
Robots are increasingly operating in indoor environments designed for and shared with people. However, robots working safely and autonomously in uneven and unstructured environments still face great challenges. Many modern indoor environments are des
Externí odkaz:
http://arxiv.org/abs/1710.10523
We present a scalable set-valued safety-preserving controller for constrained continuous-time linear time-invariant (LTI) systems subject to additive, unknown but bounded disturbance or uncertainty. The approach relies upon a conservative approximati
Externí odkaz:
http://arxiv.org/abs/1312.3399
Publikováno v:
In Systems & Control Letters May 2019 127:13-18
Autor:
Yousefi, Mahdi, van Heusden, Klaske, West, Nicholas, Mitchell, Ian M., Ansermino, J. Mark, Dumont, Guy A.
Publikováno v:
In Control Engineering Practice March 2019 84:23-31
Autor:
Wilson, Greg, Aruliah, D. A., Brown, C. Titus, Hong, Neil P. Chue, Davis, Matt, Guy, Richard T., Haddock, Steven H. D., Huff, Katy, Mitchell, Ian M., Plumbley, Mark, Waugh, Ben, White, Ethan P., Wilson, Paul
Publikováno v:
PLOS Biology 12(1): e1001745, Jan 2014
Scientists spend an increasing amount of time building and using software. However, most scientists are never taught how to do this efficiently. As a result, many are unaware of tools and practices that would allow them to write more reliable and mai
Externí odkaz:
http://arxiv.org/abs/1210.0530