activity
20172026
collaborators

5 papers

cs.HC2026

Improving outdoor navigation for people with blindness using an AI-driven smartphone application and personalized audio guidance

Raymond Liu, Patrick Slade

Globally, 340 million people have blindness or moderate to severe visual impairment (BVI) which limits independent outdoor navigation and negatively affects their health an…

cs.RO2019

Stanford Doggo: An Open-Source, Quasi-Direct-Drive Quadruped

Nathan Kau, Aaron Schultz, Natalie Ferrante +1

This paper presents Stanford Doggo, a quasi-direct-drive quadruped capable of dynamic locomotion. This robot matches or exceeds common performance metrics of state-of-the-art legge…

eess.SY2018

Estimation and Control Using Sampling-Based Bayesian Reinforcement Learning

Patrick Slade, Zachary N. Sunberg, Mykel J. Kochenderfer

Real-world autonomous systems operate under uncertainty about both their pose and dynamics. Autonomous control systems must simultaneously perform estimation and control tasks to m…

eess.SY2017

Optimal control of a single leg hopper by Liouvillian system reduction

Patrick Slade, Siobhan Powell, Michael F. Howland

The benefits of legged locomotion shown in nature overcome challenges such as obstacles or terrain smoothness typically encountered with wheeled vehicles. This paper evaluates the…

eess.SY2017

Simultaneous active parameter estimation and control using sampling-based Bayesian reinforcement learning

Patrick Slade, Preston Culbertson, Zachary Sunberg +1

Robots performing manipulation tasks must operate under uncertainty about both their pose and the dynamics of the system. In order to remain robust to modeling error and shifts in…