Saurav Agarwal

Affiliation

Department of Aerospace Engineering, Texas A&M University, College Station, TX, USA

Topic

Robot Pose,Error Covariance,Estimation Problem,Least Squares Problem,Least Squares Regression,Linear Problem,Loop Closure,Orientation Estimation,Orientation Of The Robot,Position Estimation,Position Of The Robot,Relative Measure,Relative Orientation,Absolute Measures,Absolute Orientation,Back Door,Belief Space,Catastrophic Failure,Change Map,Classical Solution,Collision Detection,Collision Probability,Complex Optimization,Current Beliefs,Dynamic Replanning,Environmental Changes,Fault-tolerant,Front Door,Gaussian Noise,Global Frame,Global Orientation,Head Measurements,Indoor Environments,Iterative Optimization,Kalman Filter,Linear Least Squares Problem,Linear Quadratic Gaussian,Local Control,Local Frame,Local Measurements,Localization Error,Localizer,Measurement Vector,Model Predictive Control,Motor Noise,Noisy Measurements,Nonlinear Optimization Problem,Nonlinear Programming,Observation Space,Online Phase,

Biography

Saurav Agarwal received the B.S. degree in aerospace engineering from Indian Institute of Technology Bombay, Mumbai, India, and the M.S. degree in aerospace engineering from Cranfield University, Cranfield, U.K., and the Ph.D. degree in aerospace engineering from Texas A&M University, TX, USA, respectively.
He is currently the CEO and Co-Founder of Stocked Robotics. His research interests include SLAM, motion planning, estimation and control, and computer vision.
Dr. Agarwal was a recipient of Roberto Padovani Scholarship from Qualcomm in 2015.