Portrait of Kartik Patath

Software Engineer — Computer Vision & Robotics

Building perception and autonomy systems.

Computer Vision SLAM Sensor Fusion State Estimation Deep Learning
About

I design and ship reliable perception & autonomy systems — from camera‑first sensing and multi‑sensor fusion to tightly‑coupled visual‑inertial state estimation and semantic mapping. I care about clarity, reproducibility, and measurable impact in real applications.

Education
  • MS, Robotics Engineering, Worcester Polytechnic Institute, 2021
  • B.Tech, Electronics & Communication, VNIT Nagpur, 2018
Experience
Jun 2022 – Present
Localization & Mapping Engineer — Woven by Toyota (Palo Alto, CA)
  • Led cross‑functional integration across perception, mapping, and ML teams; delivered PoCs to fleet‑deployed systems.
  • Ownership of perception‑to‑map interfaces and on‑vehicle validation; improved robustness and latency.
Aug 2021 – Mar 2022
Computer Vision Engineer — Honda Research Institute USA (San Jose, CA)
  • Shipped CV modules from research to prototype; contributed to perception stack performance and reliability.
Feb 2021 – May 2021
Robotics Research Intern — Honda Research Institute USA (San Jose, CA)
Aug 2020 – Jan 2021
JVSRP Research Intern — NASA JPL, Team CoSTAR (Pasadena, CA)
  • Contributed to artifact detection/semantic mapping components used in the final stage of DARPA SubT (2021).
Sep 2019 – Aug 2020
Research Assistant — WPI (Worcester, MA)
  • Developed end‑to‑end semantic SLAM integrating deep learning‑based detection and loop closure on objects.
May 2017 – Aug 2017
Summer Research Intern — CMU (Pittsburgh, PA)
Full CVs: ML‑focused · General
Projects

Semantic SLAM

Object‑level data association and real‑time semantic mapping.

Motion forecasting

Forecasting trajectories with social context on Argoverse.

Curiosity‑Driven Exploration

ICM & RND for intrinsic motivation and exploration.

Butler Robot

Indoor autonomous navigation on a custom UGV.

DQN — Breakout

Dueling DQN trained to play Atari Breakout.

ICP

Geometry processing and registration demo.

Obstacle avoidance

Random walk and obstacle avoidance in simulation.

Impedance Control

Control on KUKA LWR and dVRK MTM.

SARA

Semi‑Autonomous Robot Assistant.