17 citations · 32 across the 6 of their papers we have counts for
6 papers
DeepCPG Policies for Robot Locomotion
Aditya M. Deshpande, Eric Hurd, Ali A. Minai +1
Central Pattern Generators (CPGs) form the neural basis of the observed rhythmic behaviors for locomotion in legged animals. The CPG dynamics organized into networks allow the emer…
Robust Deep Reinforcement Learning for Quadcopter Control
Aditya M. Deshpande, Ali A. Minai, Manish Kumar
Deep reinforcement learning (RL) has made it possible to solve complex robotics problems using neural networks as function approximators. However, the policies trained on stationar…
Developmental Reinforcement Learning of Control Policy of a Quadcopter UAV with Thrust Vectoring Rotors
Aditya M. Deshpande, Rumit Kumar, Ali A. Minai +1
In this paper, we present a novel developmental reinforcement learning-based controller for a quadcopter with thrust vectoring capabilities. This multirotor UAV design has tilt-ena…
Quaternion Feedback Based Autonomous Control of a Quadcopter UAV with Thrust Vectoring Rotors
Rumit Kumar, Mahathi Bhargavapuri, Aditya M. Deshpande +3
In this paper, we present an autonomous flight controller for a quadcopter with thrust vectoring capabilities. This UAV falls in the category of multirotors with tilt-motion enable…
Computer Vision Toolkit for Non-invasive Monitoring of Factory Floor Artifacts
Aditya M. Deshpande, Anil Kumar Telikicherla, Vinay Jakkali +3
Digitization has led to smart, connected technologies be an integral part of businesses, governments and communities. For manufacturing digitization, there has been active research…
Flight Control of Sliding Arm Quadcopter with Dynamic Structural Parameters
Rumit Kumar, Aditya M. Deshpande, James Z. Wells +1
The conceptual design and flight controller of a novel kind of quadcopter are presented. This design is capable of morphing the shape of the UAV during flight to achieve position a…