I am a second year masters student at the University of Utah. My research interests lie in Robotics, Machine Learning, Artificial Intelligence and Robot Control. I currently work under Dr. Tucker Hermans at the Learning Lab for Manipulator Autonomy. Some of my work can be found here.
I am actively seeking full-time work opportunities. If you or someone you know are hiring, shoot me an email chenna at outlook dot com
The conﬁg-CNN architecture. Top left: the RGBD representation, z, extracted grasp patch, p, and image patch network channel m(·). Bottom: the Allegro hand and grasp conﬁguration network channel n(·). Right: the combined feature network layers and output k(·). "Planning Multi-Fingered Grasps as Probabilistic Inference in a Learned Deep Network"; Qingkai Lu, Kautilya Chenna, Balakumar Sundaralingam, and Tucker Hermans; International Symposium on Robotics Research (ISRR), 2017.