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Venkata Naga Prasanth Kotaru

Ph.D. Candidate
Hybrid Robotics Group
Department of Mechanical Engineering
University of California, Berkeley

About me

I am a PhD candidate in Mechanical Engineering at UC Berkeley, advised by Prof. Koushil Sreenath in the Hybrid Robotics Group. Prior to this, I completed master's from Dept. of Mechanical Engineering, Carnegie Mellon University and bachelor's from Dept. of Mechanical Engineering, Indian Institute of Technology Madras, Chennai. I enjoy hiking, camping, board-games, age of empires in my free time.

Research Interests

  • Nonlinear & Geometric Optimal Control

  • Safe Multi-Robot Collobaration

My interests broadly lie in control theory for robotics and autonomous systems. Specifically, I work on nonlinear and geometric controls for safe robot collaboration in aerial manipulation and payload transportation. More here.

More about my education/experiences in my cv




Tethered Power Supply for Quadcopters: Architecture, Analysis and Experiments
Karan P. Jain*, Prasanth Kotaru*, Massimiliano de Sa, Mark W. Mueller†, and Koushil Sreenath†
(submitted to IROS 2022)




Differential Flatness based Path Planning with Direct Collocation on Hybrid Modes for a Quadrotor with a Cable-Suspended Payload, Jun Zeng, Prasanth Kotaru, Mark Mueller, and Koushil Sreenath
IEEE Robotics and Automation Letters (RA-L), 5(2):3074–3081, February 2020


Geometric \(L_1\) Adaptive Attitude Control for a Quadrotor Unmanned Aerial Vehicle
Prasanth Kotaru, Ryan Edmonson, Koushil Sreenath
ASME Journal of Dynamic Systems, Measurement, and Control, 142(3), March 2020




Multiple quadrotors carrying a flexible hose: dynamics, differential flatness and control
Prasanth Kotaru, Koushil Sreenath
International Federation of Automatic Control World Congress (IFAC), July 2020



Ball Juggling on the Bipedal Robot Cassie
Katherine L. Poggensee*, Albert H. Li*, Daniel Sotsaikich*, Bike Zhang, Prasanth Kotaru, Mark Mueller, and Koushil Sreenath. European Control Conference (ECC), May 2020


Variation Based Extended Kalman Filter on \(S^2\)
Prasanth Kotaru, Koushil Sreenath
European Control Conference (ECC), pages 875–882, Naples, Italy, June 2019


Geometric Control and Differential Flatness of a Quadrotor UAV with Load Suspended from a Pulley
Jun Zeng, Prasanth Kotaru and Koushil Sreenath
American Control Conference (ACC), 2019


Differential-Flatness and Control of Quadrotor(s) with a Payload Suspended through Flexible Cable(s)
Prasanth Kotaru, Guofan Wu, Koushil Sreenath
Indian Control Conference (ICC), 2018, 352–357



Dynamics and Control of a Quadrotor with a Payload Suspended through an Elastic Cable
Prasanth Kotaru, Guofan Wu, Koushil Sreenath
American Control Conference (ACC), 2017, 3906-3913


Some of my curated projects



Python code for Symbolic Computation of Dynamics on Smooth Manifolds

Adapted to python from the original scala toolbox


C++ package for some of the common nonlinear control algorithms for robotics applications.

Past Projects

Safety against uncertain obstacles

Probabilistic control barrier function

In this project, we use stochastic approach to understand barriers in case of uncertainties. We consider a linear system with linear chance constraint and implement CLF-PrCBF-SOCP to ensure safety.
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Reinforcement Learning for Legged Robots

Reinforcement learning techniques to a bipedal robot Cassie in a simulated environment to find robust control policies.
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Obstacle Avoidance for 2D Quadrotor with Hanging Load

Optimization-based collision avoidance trajectory are generated for 2D quadrotor with hanging load. A Model Predictive Control (MPC) framework is used to track these trajectory.
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Stair climbing using virtual model control for 2D bipedal locomotion

Virutal model control from [Pratt, Jerry, et al] is used to achieve stair climbing of a 5-link planar humanoid model in SimMechanics.
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2116 Etcheverry
Hybrid Robotics Group
University of California, Berkeley
Berkeley, CA - 94720

Email: prasanth dot kotaru at berkeley dot edu