Varun Murali is an assistant professor of Electrical & Computer Engineering at Texas A&M University with 11 years of experience building autonomy for robots in real-world, unstructured environments. He develops computationally efficient hierarchical semantic mapping, planning, and tasking algorithms that tightly integrate perception-action loops to enable robots to handle complex, under-specified tasks. Before joining Texas A&M he was a postdoc at UPenn’s GRASP lab and earned a PhD from MIT’s Aeronautics and Astronautics program, blending strong theoretical foundations with hands-on experimental validation. His work emphasizes general-purpose autonomy that scales to dynamic settings, reflecting a pragmatic focus on deployable methods rather than purely theoretical solutions. Colleagues note his ability to translate multi-institutional research into cohesive systems-level advances in robot decision-making.
11 years of coding experience
10 years of employment as a software developer
High School Science, High School Science at Deeksha Center For Learning
Sri Kumarans Childrens School
BENG Hons Electronic and Communications Engineering with a year in Industry, BENG Hons Electronic and Communications Engineering with a year in Industry at University of Kent
Doctor of Philosophy - PhD Aerospace Aeronautical and Astronautical Engineering, Doctor of Philosophy - PhD Aerospace Aeronautical and Astronautical Engineering at Massachusetts Institute of Technology
Master of Science (MS) CS (Specialization: Robotics and Perception), Master of Science (MS) CS (Specialization: Robotics and Perception) at Georgia Institute of Technology
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