Teaching Collaborative Robots to Think and Learn Like Humans
I am working closely with the vision and firmware teams at Peer Robotics to enhance the Peer3000's intelligence and learning capabilities. I implemented a high-performance data pipeline that captures 30+ synchronized camera, sensor, and telemetry streams during operations. The data is processed to train and fine-tune deep learning models (e.g., for object detection) to improve overall perception and decision-making.
Working across R&D facilities in Gurgaon (India) and Detroit (United States), as well as the manufacturing facility in Pune (India), I explore utilizing modern vision models, VLMs, and world models for hierarchical planning to enhance situational awareness, localization, and path planning. The goal is to increase the contextual awareness of the Peer3000, enhance proactiveness and improve autonomous decision-making in real-world manufacturing settings.
The Peer3000 is not just a tool that follows instructions. It is a coworker that understands its surroundings, adapts to new environments and learns just like a human colleague.
Watch more Peer3000 videos here.
"I worked closely with Julius for six months, and he is a fantastic engineer with exceptional knowledge of system architecture. He came in as a consultant, took complete ownership of our vision system data pipeline project at Peer Robotics, and built a brilliant system capable of handling complex real-time data from 6 stereo-depth cameras simultaneously. His focus on building highly scalable systems was obvious; his solution for scaling the pipeline smoothly across our growing mobile robot fleet was exceptionally well thought out. Seeing his work live and running flawlessly on the Peer3000 right now is a testament to his expertise. Julius is highly resourceful, reliable, and a great partner to bring onto any critical engineering project."