I'm Kyle Vedder

In 20 years I want there to be robots that can effectively provide a full range of quality care to the elderly. The US is on the verge of a large retirement of baby boomers and China faces a deeply troubling demographic cliff in 20 years, motivating the need for new methods of automated, high quality elder care not reliant upon human labor.

Background

I am a CS PhD student at Penn under Eric Eaton in the Lifelong Machine Learning Lab. Motivated by my goal of developing elder care robots, my research interests lie in the intersection of:

• Mobile robotics
• Vision-based object detection
• Self-supervised continual learning

During my undergrad in CS at UMass Amherst I did research under Joydeep Biswas in the Autonomous Mobile Robotics Lab. My research was in:

• Single-Agent Path Finding (SAPF) for sampling based planners
• Anytime Multi-Agent Path Finding (MAPF) for efficient first solution generation
• Core infrastructure and low level safety system of our RoboCup Small Size League team

I have also done a number of industry internships; I have interned twice at Unidesk (a startup since aquired by Citrix), twice at Google, and once at Amazon's R&D lab, Lab126.

More Information

• Email: kvedder (at) seas.upenn.edu
• Resume: /resume
• Publications: /publications
• GitHub: kylevedder

Updates