Peter Stratton Email & Phone Number

South San Francisco, California, United States

Ann Arbor, Michigan, United States

- GSI for ROB 530/EECS 568: Mobile Robotics, which covers fundamental algorithms for localization, mapping, SLAM, and linear/non-linear filtering for state-estimation- Duties include designing homeworks, answering student questions on Piazza, and holding office hours

Ann Arbor, Michigan, United States

- Researched domain adaptive object detection using both Faster-RCNN and DETR-based neural networks (advised by Xiaoxiao Du in the Ford Center for Autonomous Vehicles)- Experimented with various unsupervised learning techniques (adversarial, imitation, and contrastive learning) to improve object-level feature representations extracted by the network- Presented preliminary results via IROS 2023 late-breaking results poster and oral presentation and submitted a first-author paper

South San Francisco, California, United States

- Developed state-estimation algorithms using GNSS-IMU sensor fusion for Zipline's navigation stack- Within a coarse-to-fine optimization pipeline, I applied factor graphs to estimate rotations in a trajectory- Aligned the VIO and GPSINS trajectories by estimating the transformation between their reference frames- Implemented the integer ambiguity search algorithm, LAMBDA (least-squares and dynamic programming), to estimate the number of cycles in GNSS carrier phase signals

Palo Alto, California, United States

- Worked on the mapping and localization team and developed a ROS2 pipeline for the autonomy stack to parse map data, create data structures to represent lane connectivity, and perform map matching - Implemented a map matching algorithm that takes a set of GNSS signals as input and projects them to the "best" highway lane using Hidden Markov Models and Dynamic Programming

San Diego, California, United States

- IA for CSE 100 (Advanced Data Structures) and CSE 6R (Intro to OO Programming: Python)- Duties included holding tutoring hours, where I assisted students with debugging their programming assignments, and answering student questions on our class discussion forum (Piazza)

Greater San Diego Area

- Researched the application of Deep Reinforcement Learning techniques for complete coverage path planning (advised by Dr. Nikolay Atanasov in the Existential Robotics Laboratory)- Built an open source simulation environment to test our RL algorithms and benchmark several cutting edge non-learning based methods (BSA, BA*, Spiral STC)- Implemented a simulation environment to test the classic robotics algorithms Particle Filtering SLAM and Occupancy Grid Mapping and presented our work at the SDSU Research Symposium

San Diego County, California, United States

- Developed the reward function for a Deep RL EDA tool that automates the floorplanning step of IC design- Designed and implemented mathematical reward metrics to quantify the quality of a floorplan

Greater San Diego Area

- Developed a pipeline to read data from register state files, map the signal path, and create a diagram of connections through Radio Frequency Integrated Circuits (RFIC) - Created an interactive UI with Bash scripts to organize and run RFIC and DFE circuit diagrams

Master Of Science - Ms, Robotics

Activities and Societies: Ford Center for Autonomous Vehicles, Graduate Student Instructor (TA)GPA: 3.81/4.00 Courses: ROB 530: Mobile.

Jacobs School Of Engineering - B.S., Computer Science

Activities and Societies: Existential Robotics Laboratory, CSE Tutoring, Triton AI, UCSD NCAA TennisMajor GPA: 3.71/4.00 Cumulative GPA.

Education record

Activities and Societies: Men's Tennis, South Asian Culture Club, WHAT Tutoring, Science Olympiad, National Honors SocietyHigh School.