110 citations · 361 across the 53 of their papers we have counts for
4 papers · 1 filter
Deeply Informed Neural Sampling for Robot Motion Planning
Ahmed H. Qureshi, Michael C. Yip
Sampling-based Motion Planners (SMPs) have become increasingly popular as they provide collision-free path solutions regardless of obstacle geometry in a given environment. However…
Augmented Reality Predictive Displays to Help Mitigate the Effects of Delayed Telesurgery
Florian Richter, Yifei Zhang, Yuheng Zhi +2
Surgical robots offer the exciting potential for remote telesurgery, but advances are needed to make this technology efficient and accurate to ensure patient safety. Achieving thes…
Adversarial Imitation via Variational Inverse Reinforcement Learning
Ahmed H. Qureshi, Byron Boots, Michael C. Yip
We consider a problem of learning the reward and policy from expert examples under unknown dynamics. Our proposed method builds on the framework of generative adversarial networks…
Motion Planning Networks
Ahmed H. Qureshi, Anthony Simeonov, Mayur J. Bency +1
Fast and efficient motion planning algorithms are crucial for many state-of-the-art robotics applications such as self-driving cars. Existing motion planning methods become ineffec…