PhD Candidate, University of Michigan
International Conference on Robotics and Automation
May, 2022. Philadelphia, USA.
I was excited to attend the IEEE International Conference on Robotics and Automation (ICRA) in 2022 as a member of the Laboratory for Progress. ICRA 2022 was the first conference I attended as a graduate student and also the first in which I presented published work.
Our work on Differentiable Nonparametric Belief Propagation for robot perception was accepted to the workshop on Robot Perception and Mapping: Emerging Techniques.
Moreover, we were fortunate to be selected for one of two spotlight talks during the workshop. Below is a recording of our talk:
In addition to the spotlight talk, we presented our work on DNBP at the Robot Perception and Mapping poster session. I’m grateful for having had this opportunity to share our work with the interested researchers and participants of this workshop. We appreciated the interest, questions, and discussion on DNBP!
Attending ICRA was an amazing opportunity to learn from researchers across the fields that contribute to robotics and automation. From the Laboratory for Progress, Tommy Cohn presented Topologically-Informed Atlas Learning and Emily Sheetz presented work on Composable Causality in Semantic Robot Programming. There were many exciting talks and posters at ICRA—more than I have room to give a complete list here—but a few that stood out include the work presented by Joseph Ortiz on Incremental Abstraction in Distributed Probabilistic SLAM Graphs and by Zachary Ravichandran on Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks.