MAV stability augmentation using weighted outputs from distributed hair sensor arrays. - Jishnu Keshavan; J. Sean Humbert (ACC, 2010)

A H∞ loopshaping approach for autonomous bio-inspired visual navigation in three-dimensional urban environments. - Jishnu Keshavan; James Sean Humbert (CDC, 2012)

An H∞ loopshaping approach for bio-inspired reflexive visual navigation in three-dimensional urban environments. - Jishnu Keshavan; James Sean Humbert (Robotics Auton. Syst., 2014)

Computationally efficient underwater navigational strategy in electrically heterogeneous environments using electrolocation. - Kedar D. Dimble; Badri N. Ranganathan; Jishnu Keshavan; James Sean Humbert (ICRA, 2015)

Range identification using an uncalibrated monocular camera. - Jishnu Keshavan; James Sean Humbert (ACC, 2017)

An Optical Flow-Based Solution to the Problem of Range Identification in Perspective Vision Systems. - Jishnu Keshavan; James Sean Humbert (J. Intell. Robotic Syst., 2017)

An Analytically Stable Structure and Motion Observer Based on Monocular Vision. - Jishnu Keshavan; James Sean Humbert (J. Intell. Robotic Syst., 2017)

Robust motion recovery from noisy stereoscopic measurements. - Jishnu Keshavan; James Sean Humbert (ACC, 2018)

A Data-Driven Method to Dissect the Dynamics of the Causal Influence in Complex Dynamical Systems. - Violet Mwaffo; Jishnu Keshavan; Tyson Hedrick; James Sean Humbert (COMPENG, 2018)

Autonomous Bio-Inspired Small-Object Detection and Avoidance. - Michael Ohradzansky; Hector D. Escobar-Alvarez; Jishnu Keshavan; Badri N. Ranganathan; J. Sean Humbert (ICRA, 2018)

Robust structure and motion recovery for monocular vision systems with noisy measurements. - Jishnu Keshavan; James Sean Humbert (Int. J. Control, 2018)

Bioinspired Approaches for Autonomous Small-Object Detection and Avoidance. - Hector D. Escobar-Alvarez; Michael Ohradzansky; Jishnu Keshavan; Badri N. Ranganathan; J. Sean Humbert (IEEE Trans. Robotics, 2019)

A Provably Constrained Neural Control Architecture With Prescribed Performance for Fault-Tolerant Redundant Manipulators. - Rajpal Singh; Jishnu Keshavan (IEEE Access, 2022)

Adaptive Control of a Constrained First Order Sliding Mode for Visual Formation Convergence Applications. - Jishnu Keshavan; Saurabh Belgaonkar; Shreeram Murali (IEEE Access, 2023)

Prescribed Performance Control for Solving Time-Varying Underdetermined Linear Systems With Bounds on States and Their Derivatives. - Chandan Kumar Sah; Jishnu Keshavan (IEEE Trans. Ind. Informatics, 2023)

Control Barrier Functions in Dynamic UAVs for Kinematic Obstacle Avoidance: A Collision Cone Approach. - Manan Tayal; Rajpal Singh; Jishnu Keshavan; Shishir Kolathaya (ACC, 2024)

A Collision Cone Approach for Control Barrier Functions. - Manan Tayal; Bhavya Giri Goswami; Karthik Rajgopal; Rajpal Singh; Tejas Rao; Jishnu Keshavan; Pushpak Jagtap; Shishir Kolathaya (CoRR, 2024)

Adaptive Koopman Embedding for Robust Control of Complex Nonlinear Dynamical Systems. - Rajpal Singh; Chandan Kumar Sah; Jishnu Keshavan (CoRR, 2024)

Real-Time Constrained Tracking Control of Redundant Manipulators Using a Koopman-Zeroing Neural Network Framework. - Chandan Kumar Sah; Rajpal Singh; Jishnu Keshavan (IEEE Robotics Autom. Lett., 2024)

Approximation-Free Robust Tracking Control of Unknown Redundant Manipulators With Prescribed Performance and Input Constraints. - Rajpal Singh; Jishnu Keshavan (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Event-Based Adaptive Koopman Framework for Optic Flow-Guided Landing on Moving Platforms. - Bazeela Banday; Chandan Kumar Sah; Jishnu Keshavan (CoRR, 2025)

Tracking Control of Euler-Lagrangian Systems with Prescribed State, Input, and Temporal Constraints. - Chidre Shravista Kashyap; Pushpak Jagtap; Jishnu Keshavan (CoRR, 2025)

Dynamics-Invariant Quadrotor Control using Scale-Aware Deep Reinforcement Learning. - Varad Vaidya; Jishnu Keshavan (CoRR, 2025)