A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment. - Homagni Saha; Fateme Fotouhif; Qisai Liu; Soumik Sarkar (CoRR, 2021)

A Deep Learning Approach to Detect Lean Blowout in Combustion Systems. - Tryambak Gangopadhyay; Somnath De; Qisai Liu; Achintya Mukhopadhyay; Swarnendu Sen; Soumik Sarkar (CoRR, 2022)

A Modular Vision Language Navigation and Manipulation Framework for Long Horizon Compositional Tasks in Indoor Environment. - Homagni Saha; Fateme Fotouhi; Qisai Liu; Soumik Sarkar (Frontiers Robotics AI, 2022)

A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations. - Qisai Liu; Xian Yeow Lee; Soumik Sarkar (AI Open, 2024)

Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning. - Weisi Fan; Jesse Lane; Qisai Liu; Soumik Sarkar; Tichakorn Wongpiromsarn (CoRR, 2024)

RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception. - Joshua R. Waite; Md. Zahid Hasan; Qisai Liu; Zhanhong Jiang; Chinmay Hegde; Soumik Sarkar (ICCPS, 2025)

Enhancing PPO with Trajectory-Aware Hybrid Policies. - Qisai Liu; Zhanhong Jiang; Hsin-Jung Yang; Mahsa Khosravi; Joshua R. Waite; Soumik Sarkar (CoRR, 2025)

Bidirectional Linear Recurrent Models for Sequence-Level Multisource Fusion. - Qisai Liu; Zhanhong Jiang; Joshua R. Waite; Chao Liu 028; Aditya Balu; Soumik Sarkar (CoRR, 2025)