My project-based learning effort for Robotic Manipulation was introduced during the 2024 State of the University Address on Thursday, February 8, 2024.
A New Project: ML for Agricultural Vehicles
A project titled “Development of Machine Learning Algorithms for Electric Autonomous Agricultural Vehicles” has been awarded. This project is sponsored by WApplE Cloud Co., Ltd. It will start on January 1, 2024, and end on June 30, 2024.
Campus grant awarded
The proposal, “RID: Open-Source Autonomous Ground Vehicular Robotics Platform,” has been awarded for Research Initiation & Development (RID – FY24 Fall Cycle). 1/15/2024 – 1/14/2025.
I am looking for a graduate student who will work on this project during this summer. Please contact me if you are interested in joining this project.
2023 Fall End-of-Term Meeting
After the end-of-term presentation of the BIMI lab, we went to Ford Garage to celebrate another successful term, 2023 Fall. Thank you again for your hard work, Bimians!
MiCareerQuest Southwest 2023
MiCareerQuest Southwest 2023 Tuesday, November 14 at the Suburban Collection Showplace in Novi. Aws Khalil and Feeza Khan Khanzada represented the ECE department of UM-Dearborn. MiCareerQuest Southeast expects 7,000 high school students, 500 teachers and counselors, 1,000 exhibitor volunteers, 200 MiCareerQuest volunteers, and 100 special guests.
IROS 2023, Oct 1- Oct 5, Detroit
Aws presented his paper, “ANEC: Adaptive Neural Ensemble Controller for Mitigating Latency Problems in Vision-based Autonomous Driving” at IROS 2023, Detroit.
New ECE Program Flyers
IBRO 2023
Attended the 11th IBRO World Congress of Neuroscience hosted by SENC at the Granada Exhibition and Conference Centre from 9-13 September 2023 with a poster titled “Artificial Neural Network Controller Using Sensory Motor Contingency For Highly Automated Mobility.”
A New GPU Workstation for Deep Learning
Finally, a new GPU workstation for deep learning arrived.
Specifications:
- Operating system: Ubuntu 22.04: Includes Lambda Stack for managing TensorFlow, PyTorch, CUDA, cuDNN, etc.
- Processor: AMD Ryzen Threadripper PRO 5975WX: 32 cores, 3.6~4.5GHz, 128 MB cache, PCIe 4.0
- GPU: 2x NVIDIA RTX 6000 Ada Generation: 48GB memory, 18176 CUDA cores, 568 Tensor cores
- System memory: 256 GB: DDR4-3200 UDIMM
- OS drive: 1x 1.92 TB M.2 NVMe
- Data drive: 1x 3.84 TB U.2 NVMe: Data center SSD, 1 DWPD, PCIe 4.0
- Onboard networking: 2x 10 Gbps RJ45 Ethernet ports, 1x dedicated IPMI port
Pacifica with Dataspeed DBW
As the internal procurement processes are near to finalization, my Ph.D. student, Aws, and I paid a visit to Dataspeed. After productive discussions regarding the purchase (remember that the original quote is more than 1.5 years old), Dr. Micho showed a Pacifica equipped with the company’s Drive-by-Wire systems.
We are even more excited now after the cool demonstrations, which show several advanced new features. Thank you, Dataspeed, for your time and effort to host us.