90 citations · 175 across the 26 of their papers we have counts for
4 papers · 1 filter
Unadversarial Examples: Designing Objects for Robust Vision
Hadi Salman, Andrew Ilyas, Logan Engstrom +3
We study a class of realistic computer vision settings wherein one can influence the design of the objects being recognized. We develop a framework that leverages this capability t…
Adversarial Attacks on Optimization based Planners
Sai Vemprala, Ashish Kapoor
Trajectory planning is a key piece in the algorithmic architecture of a robot. Trajectory planners typically use iterative optimization schemes for generating smooth trajectories t…
AirSim Drone Racing Lab
Ratnesh Madaan, Nicholas Gyde, Sai Vemprala +7
Autonomous drone racing is a challenging research problem at the intersection of computer vision, planning, state estimation, and control. We introduce AirSim Drone Racing Lab, a s…
Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty
Tom Hirshberg, Sai Vemprala, Ashish Kapoor
Recent advances in Deep Machine Learning have shown promise in solving complex perception and control loops via methods such as reinforcement and imitation learning. However, guara…