Sparse PointPillars: Maintaining and Exploiting Input Sparsity to Improve Runtime on Embedded Systems. Kyle Vedder, Eric Eaton. IROS 2022. [pdf][website][video]
X*: Anytime Multi-Agent Path Finding For Sparse Domains Using Window-Based Iterative Repairs. Kyle Vedder and Joydeep Biswas. In Artificial Intelligence, Volume 291, 2021. [pdf] [website]
X*: Anytime Multiagent Path Planning With Bounded Search. Kyle Vedder and Joydeep Biswas. In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, Montreal, Quebec, CA. July 2019. [pdf]
Sparse PointPillars: Exploiting Sparsity on Birds-Eye-View Object Detection. Kyle Vedder, Eric Eaton. Sparsity in Neural Networks Workshop. 2021. [pdf] [arxiv]
Augmenting Planning Graphs in 2-Dimensional Dynamic Environments With Obstacle Scaffolds. Spencer Lane, Kyle Vedder, and Joydeep Biswas. In Proceedings of the 5th Workshop on Planning and Robotics (PlanRob), Pittsburgh, PA, USA. June 2017. [pdf]
Current Approaches and Future Directions for Point Cloud Object Detection in Intelligent Agents. Kyle Vedder. 2021. [pdf][video][slides]
An Overview of SHAP-based Feature Importance Measures and Their Applications To Classification. Kyle Vedder. 2020. [pdf][video][slides]
UMass MinuteBots 2018 Team Description Paper. Kyle Vedder, Edward Schneeweiss, Sadegh Rabiee, Samer Nashed, Spencer Lane, Jarrett Holtz, Joydeep Biswas, David Balaban. 2018. [pdf]
UMass MinuteBots 2017 Team Description Paper. Kyle Vedder, Edward Schneeweiss, Sadegh Rabiee, Samer Nashed, Spencer Lane, Jarrett Holtz, Joydeep Biswas, David Balaban. 2017. [pdf]