Kartikeya Singh

About Me

I am a Ph.D. candidate in Computer Science at the University at Buffalo, working in the Distributed Robotics and Networked Embedded Sensing (DRONES) Lab Prof. Karthik Dantu. From January to July 2026, I was a Research Scientist Intern at Mitsubishi Electric Research Laboratories (MERL), Cambridge, where I worked with Dr. Stefano Di Cairano.

My research focuses on enabling legged robots to navigate complex and unseen terrains using uncertainty-aware perception and planning. I develop learning-based methods for predicting future footholds, modeling epistemic uncertainty, and generating feasibility-aware costmaps for robust navigation.

More broadly, I am interested in bridging perception, control, and planning to build autonomous robotic systems that can reliably operate in real-world environments — with an emphasis on generalization and safety in out-of-distribution scenarios.

News

Publications

Coming Soon

TERRA-Nav: Terrain-Encoded Locomotion with Risk-Aware Navigation for Legged Robots in the Wild

K Singh, S Cairano

[Paper] [Video] [Code]

CLAWAR 2026 · Accepted

Task-Conditioned Uncertainty costmaps for Legged Locomotion

K Singh, C Aluckal, R Orsolino, K Dantu

[Paper] [Video] [Code]

ISRR 2026 · Accepted

CART: Context-Aware Terrain Adaptation for Stable Locomotion

K Singh, Y Kim, Y Turkar, K Dantu

[Paper] [Video] [Code]

ICRA 2025 · Workshop on Field Robotics

Autonomous Culvert Inspection on the Erie Canal using Legged Robots

K Singh, Y Turkar, Y Kim, M Lengel, K Dantu

[Paper] [Project] [Video]

NERC 2024

PANOS: Payload-Aware Navigation in Offroad Scenarios

K Singh, Y Turkar, C Alukal, K Dantu

[Paper] [Project]

ICRA 2025

L-DYNO: Framework to Learn Consistent Visual Features Using Robot's Motion

K Singh, C Adhivarahan, K Dantu

[Paper] [Code]

CASE 2021

OFFSEG: A Semantic Segmentation Framework for Off-Road Driving

K Viswanath*, K Singh*, P Jiang, PB Sujit, S Saripalli

[Paper] [Code]

Experience

Contact