Finite State Machine Policies Modulating Trajectory Generator. - Ren Liu; Nitish Sontakke; Sehoon Ha (CoRR, 2021)

Solving Challenging Control Problems Using Two-Staged Deep Reinforcement Learning. - Nitish Sontakke; Sehoon Ha (CoRR, 2021)

PM-FSM: Policies Modulating Finite State Machine for Robust Quadrupedal Locomotion. - Ren Liu; Nitish Sontakke; Sehoon Ha (IROS, 2022)

Learning a Single Policy for Diverse Behaviors on a Quadrupedal Robot Using Scalable Motion Imitation. - Arnaud Klipfel; Nitish Sontakke; Ren Liu; Sehoon Ha (IROS, 2023)

Residual Physics Learning and System Identification for Sim-to-real Transfer of Policies on Buoyancy Assisted Legged Robots. - Nitish Sontakke; Hosik Chae; Sangjoon Lee; Tianle Huang; Dennis W. Hong; Sehoon Ha (IROS, 2023)

BayRnTune: Adaptive Bayesian Domain Randomization via Strategic Fine-tuning. - Tianle Huang; Nitish Sontakke; K. Niranjan Kumar; Irfan Essa; Stefanos Nikolaidis; Dennis W. Hong; Sehoon Ha (IROS, 2024)

Exploring Efficient Foundational Multi-modal Models for Video Summarization. - Karan Samel; Apoorva Beedu; Nitish Sontakke; Irfan Essa (CoRR, 2024)

Leveraging Procedural Knowledge and Task Hierarchies for Efficient Instructional Video Pre-training. - Karan Samel; Nitish Sontakke; Irfan Essa (CoRR, 2025)