Autonomy · Computer vision
NEET Self-Driving Car
Vehicle autonomy using CNN-based visual perception with real-time sensing and decision-making.
Competition winnerMIT mechanical engineering · Cambridge, MA
I’m Bishop Jackson, a robotics engineer working across robot learning, autonomous systems, and the physical machines that bring them into the world.
I’m a mechanical engineering student at MIT concentrating in controls, instrumentation, and robotics. My work connects modern robot learning with the realities of physical systems: messy environments, limited data, hardware constraints, and people.
From evaluating vision-language-action policies on a Franka arm to keeping advanced robots running in public deployments, I care about systems that perform beyond the demo.
Selected build work
Autonomy · Computer vision
Vehicle autonomy using CNN-based visual perception with real-time sensing and decision-making.
Competition winnerManufacturing · DFM
A repeatable product taken from machined tooling through molding, iteration, and assembly.
Mobile robotics · Mechanisms
A mobile robot with a four-bar lift and autonomous navigation for a mock home challenge.
Competition winnerMechanical design · Fabrication
Two robots developed from SolidWorks CAD to machined and 3D-printed hardware, with mechanisms refined through engineering analysis.
Robots, demonstrated
MIT FutureTech · CSAIL
An end-to-end Franka research pipeline for MolmoAct2, with custom tasks, demonstrations, checkpoint evaluation, and robot rollouts.
Robotics and AI Institute
Field deployment, operation, and electromechanical debugging in a high-traffic public demonstration environment.
Harvard · Robots in Human Ecology
A public human-robot interaction project with Spot studying approach behavior, perceived safety, and social response.
MIT FutureTech · MIT CSAIL
Manipulation evaluation pipelines and benchmarks for vision-language-action models and general-purpose robots.
Robotics and AI Institute
Spot field deployment, operation, and electromechanical debugging for public demonstrations.
MIT Climate & Sustainability Consortium
Engineering analysis of hydrogen and direct-air-capture systems for scalable co-production concepts.
Technical toolkit
VLA models · imitation learning · LoRA · CNNs
MuJoCo · MolmoSpaces · LeRobot · HDF5 · Rerun
Python · C++ · C · MATLAB · Linux · Slurm · PyTorch
SolidWorks · machining · injection molding · 3D printing