Tejaswi is a postdoctoral researcher at the Oxford Robotics Institute. He works with the Dynamic Robot Systems Group on topics related to robot navigation and mapping. The focus of his research is on utilizing semantics and structure to segment 3D navigation maps, extract meaning and enable long term scene understanding.
Before joining ORI, Tejaswi was a postdoctoral research associate at the Australian Centre for Field Robotics (ACFR), The University of Sydney, Australia from 2019-2021. He worked on learning based approaches for interpreting novel camera systems and semantic segmentation of large scale point clouds of forests. He was also a part-time lecturer for the undergraduate courses on Mechatronics, Experimental Robotics and a co-coordinator for a PhD level course on Foundations of Robotics Research.
Prior to that, Tejaswi obtained his doctoral degree from the Autonomous Systems Lab at ETH Zürich, Switzerland in 2019, as a joint doctoral student with Disney Research. In his thesis, he developed techniques for extracting semantics from imagery of natural environments, both terrestrial (vegetation) and underwater (corals), to facilitate the generation of accurate 3D reconstructions.
Tejaswi received his masters' degree in Robotics, Systems and Control from ETH Zürich in 2014 and his bachelors' degree in Electrical Engineering from IIT Jodhpur, India in 2012.