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.
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:
During my undergrad in CS at UMass Amherst I did research under Joydeep Biswas in the Autonomous Mobile Robotics Lab. My research was in:
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.
- Jul 20th, 2021: Added project webpage for X*
- Jul 8th, 2021: Poster presented at Sparse Neural Networks on Sparse PointPillars
- Jun 14th, 2021: Workshop paper accepted as poster to Sparse Neural Networks: Sparse PointPillars: Exploiting Sparsity on Birds-Eye-View Object Detection
- Apr 27th, 2021: My WPEII Presentation: Current Approaches and Future Directions for Point Cloud Object Detection in Intelligent Agents
- Apr 14th, 2021: My WPEII Document: Current Approaches and Future Directions for Point Cloud Object Detection in Intelligent Agents
- Feb 11th, 2021: Blog post: Setting up
mujoco-py for use with on-screen and off-screen rendering
- Nov 4th, 2020: Journal paper accepted to Artificial Intelligence: X*: Anytime Multi-Agent Path Finding for Sparse Domains using Window-Based Iterative Repairs
- Jul 23rd, 2020: Presentation: From Shapley Values to Explainable AI
- Jun 29rd, 2020: Demo: Penn Service Robots navigating around Levine
- May 8th, 2020: Term paper: An Overview of SHAP-based Feature Importance Measures and Their Applications To Classification