Mohak Bhardwaj Email & Phone Number

Cambridge, Massachusetts, United States

Seattle, Washington, United States

Research on model-predictive control, reinforcement learning, sim-to-real learning, offline reinforcement learning and motion planning with applications to robot manipulation

London, England, United Kingdom

Member of the Controls Team under Martin Riedmiller. Performed research on reinforcement learning algorithms for real-world dynamic control tasks.

Seattle, Washington, United States

Research on GPU accelerated model-predictive control for reactive manipulation.

Seattle, Washington, United States

Research on improving the performance path-integral model-predictive control by leveraging entropy-regularized reinforcement learning for robotics tasks.

Atlanta, Georgia, United States

Imitation learning for search-based planning and trajectory optimization

Pittsburgh, Pennsylvania, United States

Adaptive motion planning under uncertainty for real-world UAVs

Greater Pittsburgh Area

Research on earning policies for heuristic search using imitation learning and deep reinforcement learning. Developing a deep learning based emergency response system for autonomous UAVS that caters to a suite of different emergency situations with real-time motion planning performance

Greater Pittsburgh Area

Research on real-time motion planning for MAVs with a focus on responding to emergency situations. Research done as part of Phas I of NASA UAS Contingency project

Greater San Diego Area

Multi sensor calibration, sensor fusion and mapping for autonomous cars

IIIT Hyderabad

Algorithm implementation for visual servo control and singularity avoidance for a dual arm space robot.

Indore Area, India

Project: Cost reduction in engine test bed by improvements in return line of oil filter system.

Doctor Of Philosophy - Phd, Computer Science

Ph.D. Student In Robotics

Master Of Science - Ms, Robotic Systems Development

Bachelor Of Technology (B.Tech.), Mechanical Engineering

Education record