Bharat Joshi is a Computer Vision Engineer with a decade of experience building robust visual mapping and state-estimation systems for challenging environments, currently applying his expertise at Dexterity in Redwood City. His research-driven work—spanning real-time dense underwater reconstruction, GoPro visual-inertial SLAM, and comparative evaluations of SLAM methods—has produced resilient pose-tracking algorithms that perform when visual inputs degrade (ICRA 2023) and 6D relative-pose frameworks for GPS-denied multi-robot setups (IROS 2020). He blends academic rigor from a PhD in Computer Science with practical industry experience at Meta and several software companies, moving ideas from papers to deployable systems. Notably, his focus on team-based robotic mapping of large underwater structures signals a rare combination of large-scale system integration and niche domain expertise.
10 years of coding experience
8 years of employment as a software developer
Bachelor's in Electronics and Communication Engineering Electrical Electronics and Communications Engineering, Bachelor's in Electronics and Communication Engineering Electrical Electronics and Communications Engineering at Pulchowk campus,IOE
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of South Carolina
Underwater Navigation with tightly coupled fusion of Visual Inertial Sonar and Depth Information
Contributions:5 reviews, 114 commits, 8 PRs in 1 year 2 months
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Bharat Joshi - Computer Vision Engineer at Dexterity, Inc.