Email: ananyea [at] andrew [dot] cmu [dot] edu
I am a PhD student at Carnegie Mellon University working with Deepak Pathak. I am interested in understanding how humans and animals carry out diverse tasks in many environments and how we can teach robots to do the same.
I graduated from IIT Delhi with a B.Tech. in Computer Science and a President's Gold Medal. In the past, I have been lucky to work with Prof. Mausam on neuro-symbolic AI and with Prof. Manik Varma on Extreme Classification. I have also had the good fortune of interning at Microsoft Research India where I worked with Dr. Ankit Garg on algebraic complexity.
Shagun Uppal, Ananye Agarwal, Haoyu Xiong, Kenneth Shaw, Deepak Pathak
CVPR 2024
webpage | arXivJayesh Singla*, Ananye Agarwal*, Deepak Pathak
ICML 2024 (Oral)
webpageAnanye Agarwal, Shagun Uppal, Kenneth Shaw, Deepak Pathak
CoRL 2023
webpage | arXivXuxin Cheng*, Kexin Shi*, Ananye Agarwal, Deepak Pathak
ICRA 2024
webpage | arXiv | codeKenneth Shaw, Ananye Agarwal, Deepak Pathak
RSS 2023
webpage | paperAnanye Agarwal*, Ashish Kumar*, Jitendra Malik†, Deepak Pathak†
CoRL 2022 (Best Systems Paper Award)
webpage | arXiv | demo | in the mediaAnanye Agarwal, Pradeep Shenoy, Mausam
K. Dahiya, A. Agarwal, D. Saini, K. Gururaj, J. Jiao, A. Singh, S. Agarwal, P. Kar and M. Varma
ICML 2021
PDF | codeOur small low-cost robot can perceive and traverse challenging terrain. This uses a single neural network running onboard that directly maps pixels to joint torques.