Hi, I'm Vishnu Mandala
About Me
Hi! I'm Vishnu Mandala, a Robotics Engineer at Roboteon Inc. in San Jose, California. I hold a Master’s in Robotics Engineering from the University of Maryland, College Park, where I specialized in robot perception, motion planning, and control.
I build intelligent robotic systems that connect software, hardware, and automation into cohesive, reliable solutions. My experience spans the full innovation lifecycle—from architecting core navigation stacks at early-stage startups to optimizing fleets at industrial scale.
At Roboteon and previously at RoBuildX, I honed my ability to build from scratch, developing parametric models, MoveIt pipelines, and sensor integration for novel mobile manipulators. I balance this "builder" mindset with the rigor I gained at OTTO by Rockwell Automation, where I engineered workflows for nearly 100 AMRs, ensuring stability and efficiency in complex brownfield environments.
Beyond the code, I am driven by a love for learning and sharing knowledge. Whether teaching advanced CAD to over 600 students at UMD or mentoring peers on ROS2 best practices, I believe that the best engineering cultures are built on collaboration and continuous growth.
I’m passionate about bridging robotics, AI, and control engineering to push the boundaries of what machines can achieve—efficiently, intelligently, and safely.
RC-NFQ Algorithm for Autonomous Navigation
Enhanced RC-NFQ (Regularized Convolutional Neural Fitted Q-Iteration) leveraging CNNs with dropout regularization for improved autonomous navigation.
Improved Bi-directional RRT* for Robot Path Planning
Enhanced Bi-Directional RRT* with Artificial Potential Field for efficient path planning in complex, dynamic environments.
Agile Robotics for Industrial Automation Competition (ARIAC)
NIST-compliant control system for six UR10e robots and AGVs in a warehouse environment with advanced part detection and fault-tolerant architecture.