Machine Learning and Autonomy for Diverse Domains (MADD) at
Harvey Mudd
We design algorithms for safe perception and localization for autonomous vehicles across ground, air, and space. We use machine learning techniques to enable reliable and adaptive autonomy in diverse and challenging environments.
If you are interested in collaborating with us, please email admohanty@g.hmc.edu with a brief description of your interests and why you are interested in working with us!
News
May 2025
Prof. Mohanty serves as a Deputy Technical Session Chair for the Guidance, Navigation and Controls (GNC) Navigation Track for the AIAA Scitech 2026 conference.
Bob Zeng's paper titled 'AeroGrid100, a Real-World Multi-Pose UAV Dataset' is accepted to the 1st RSS Workshop on Leveraging Implicit Methods for Aerial Autonomy.
Prof. Mohanty gave an invited lightning talk at the Robots in Wildland Fire Workshop at ICRA 2025.
April 2025
Prof. Mohanty served as a co-chair for 'Navigation in Challenging Environments' session at the ION/IEEE PLANS conference in Salt Lake City.
Huaze Liu's extended abstract on 'A Framework for Map Uncertainty Using Contrastive Learning' is accepted at the ION GNSS+ conference in September 2025.
Our work on Martian Simulator Design using Unreal Engine with Sammy Tribble as the primary author is accepted for Late Breaking Results at the ICRA 2025 conference in Atlanta.
March 2025
Huaze Liu and Bob Zeng are accepted into summer robotics research programs in UC San Diego and USC, respectively!
Dec 2024
Bryce Tu Chi and Sammy Tribble have an accepted paper, 'Diffusion Models for Martian Terrain Generation' to the MIT Complex Adaptive Systems (CAS) conference.
Nov 2024
Prof. Mohanty receives the OCAC Faculty Mentoring and Collaborative Research Award at Mudd.
A team of students led by Bob Zheng and Huaze Liu receive the Shanahan funding for their successful proposal on Aquadia, the pool cleaning robot.
Sept 2024
Prof. Mohanty receives 'Outstanding Reviewer Award' and presented a paper, 'Self-Supervised Tight Coupling of GNSS with Neural Radiance Fields for UAV Navigation' at the ION GNSS+ 2023 conference in Baltimore, Maryland.