Wanangwa Nyasulu

- Developing a robust hybrid controller that combines a Reinforcement Learning (RL) controller with a model based controller to control a drone carrying a payload for a pick and place task. - The controller will be able to handle varying payload weights and cable lengths as well as the hybrid dynamics of the system when the cable is taut (in tension) and slack (no tension). - Skills/Tools: RL, MujoCo Simulator, Python, Deep Learning, Control Theory

• Consulting for First Motive under Ubundi to build ground-truth data infrastructure for Physical AI • Engaged in work across the stack: system architecture, robotic simulation, data acquisition and processing, and training/evaluating robotic control policies (imitation learning: ACT, and Vision-Language-Action models). • Working hands-on with a physical low-cost manipulator (SO-101 LeRobot from Hugging Face) to validate the full pipeline end-to-end on hardware.

- Collaborated daily with 5+ clients to diagnose, debug and optimize the software and hardware systems of our mining sensors. - Developed a 15-page official onboarding program and an 80-page training manual for new engineers. - Used GitHub, Linux, C and network communication protocols for system development and maintenance.

Currently going into my second year of mentorship in my residence. I was selected to be a mentor for 2023 and Deputy Head Mentor for 2024. I've been tasked with guiding first years through the treacherous terrain of university. With my new role, I’m given mentees and entrusted to lead the new mentor team in 2024!

- Organizing events and weekly content - Mentoring and counseling

- I designed a dual-axis gimbal for one of Autonosky's drones - My work involved 3D CAD Modelling and 3D printing to test and validate my work

- Tasked with creating a mechanical jig to hold an isolated eye for testing glaucoma treatment technology developed by LIQID Medical. - Designed the jig using Autodesk Inventor. - Utilised a Creality 3D printer to print and test the designs.

An advanced and highly competitive program in AI, autonomous systems, estimation, navigation, computer vision, and system reliability with applications in mobile robots including terrestrial and aerial robots.

Some notable achievements include getting 95% in Math and 89% in Physics along with 7 distinctions for my matric results.