Our work on the adaptive neural ensemble controller has been accepted for The 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023), which will be held October 1 – 5, 2023, at Huntington Place in Detroit, Michigan, USA. The paper title is “ANEC: Adaptive Neural Ensemble Controller for Mitigating Latency Problems in Vision-based Autonomous Driving.”
Raksha Varahamurthy and Shefali Gokarn presented their posters at IEEE Southeastern Michigan Spring Conference.
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My MS student, Jesudara, completed building a prototype of a Drive-By-Wire (DBW) system powered by Pixhawk4 and PX4 for a mesoscale electric vehicle for his Master’s Thesis. The DBW system design focuses on its reproducibility by minimizing the use of custom hardware and removing any significant modification of off-the-shelf parts.
The vehicle platform with the DBW system, named M-ROVER (Michigan, Robotic Open-source Vehicle platform for Education and Research), can be used in advanced autonomy research and education through a ROS-based open source framework, OSCAR (Open-Source robotic Car Architecture for Research and education) developed by BIMI (Bio-Inspired Machine Intelligence) Lab.
My proposal to acquire an autonomous plug-in hybrid vehicle has been awarded. The project title is “MRI: Acquisition of Autonomous Plug-In Hybrid Vehicle Platform for Multidisciplinary Research and Education at the University of Michigan-Dearborn“ (Award #2214830). The project duration is from Sep 1, 2022, to Aug 31, 2025.
Thank Drs. Doo Kim and Oran Kwon for inviting me. https://www.seoulrobotics.org/
We were able to replace a built-in control module with our custom designed one powered by Pixhawk 4.
See some demo videos.
“Incremental End-to-End Learning for Lateral Control in Autonomous Driving” has been accepted for IEEE Access. The paper can be found at https://ieeexplore.ieee.org/document/9737528.
