A team of engineering students from Macquarie University has taken the 4th honours in the National Instruments Autonomous Robotics Competition, the team beat 22 other teams from Australia and New Zealand universities. Our warmest congratulations to the students and their supervisors for this fantastic news.
The team consisted of Adrian Orellana, a third year mechatronics and computer engineering major who is also involved in the army reserve. Inspired in ELEC260 he built a nice little robot as a side project and then led this team. He has great personal and management skills in addition to being a good engineer.
Ryan Barnes, a third year mechatronics and computer engineering major. The team used their 3D printer to fabricate many parts. Ryan also has an interest in RC vehicles and he led the mechanical work (CAD and printing). His block deployment system was unique among teams, simple and worked flawlessly. The entire robot design was totally unique and amount the best looking at the competition. Ryan and Jason also were instrumental in securing a loaned version of a very high quality LIDAR system (and solving the software interface).
The team consisted of Adrian Orellana, a third year mechatronics and computer engineering major who is also involved in the army reserve. Inspired in ELEC260 he built a nice little robot as a side project and then led this team. He has great personal and management skills in addition to being a good engineer.
Ryan Barnes, a third year mechatronics and computer engineering major. The team used their 3D printer to fabricate many parts. Ryan also has an interest in RC vehicles and he led the mechanical work (CAD and printing). His block deployment system was unique among teams, simple and worked flawlessly. The entire robot design was totally unique and amount the best looking at the competition. Ryan and Jason also were instrumental in securing a loaned version of a very high quality LIDAR system (and solving the software interface).
Jason Dalmazzo, a third year software engineering major who did the bulk of the programming. The program included PID loops for wheel speed, motion/acceleration profiling to limit motor current, algorithms to determine the robots location in the field and then navigate to various locations. Their control system is good enough to enable the robot to reach it’s destination.
