Summary
Senthil Arul is a motion-planning lead and Ph.D. candidate in Electrical and Computer Engineering at the University of Maryland with eight years of experience building multi-agent navigation systems that blend robotics, motion planning, and reinforcement learning. He has applied his research to real-world robotics during internships at Amazon Lab126 and Honda Research Institute, tackling constrained-space and object-goal navigation challenges now informing his leadership at AlphaZ. His work emphasizes cooperative navigation under uncertainty and draws on human-inspired strategies like selective communication to enable efficient multi-robot collaboration in dynamic environments. Proficient in C++, Python, and TensorFlow, he pairs a strong publication record in top-tier conferences with practical system-building experience, from Kinect-based 3D scanning at NIT Trichy to autonomous-robotic-arm software at McMaster. Senthil’s uncommon strength is translating principled, human-inspired decision models into scalable, production-ready motion planners that behave naturally in cluttered, social settings.
8 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree, Instrumentation and Control, 8.99/10, Bachelor’s Degree, Instrumentation and Control, 8.99/10 at National Institute of Technology Tiruchirappalli
The University of Maryland, College Park
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at University of Maryland
Secondary School, Computer Science Stream, 95.6%, Secondary School, Computer Science Stream, 95.6% at Sri Sankara Senior Secondary School
English, Tamil, Hindi