Gaussian Mixture Model (GMM) Based Object Detection and Tracking using Dynamic Patch Estimation. - Vishnu Anand; Durgakant Pushp; Rishin Raj; Kaushik Das (IROS, 2019)

Decision-Making Among Bounded Rational Agents. - Junhong Xu; Durgakant Pushp; Kai Yin; Lantao Liu (DARS, 2022)

UAV-miniUGV Hybrid System for Hidden Area Exploration and Manipulation. - Durgakant Pushp; Swapnil Kalhapure; Kaushik Das; Lantao Liu (IROS, 2022)

CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation. - Zheng Chen 016; Durgakant Pushp; Lantao Liu (Robotics: Science and Systems, 2022)

Coordination of Bounded Rational Drones Through Informed Prior Policy. - Durgakant Pushp; Junhong Xu; Lantao Liu (IROS, 2023)

POVNav: A Pareto-Optimal Mapless Visual Navigator. - Durgakant Pushp; Zheng Chen 016; Chaomin Luo; Jason M. Gregory; Lantao Liu (ISER, 2023)

Pseudo-trilateral adversarial training for domain adaptive traversability prediction. - Zheng Chen 016; Durgakant Pushp; Jason M. Gregory; Lantao Liu (Auton. Robots, 2023)

Visual-Geometry GP-based Navigable Space for Autonomous Navigation. - Mahmoud Ali; Durgakant Pushp; Zheng Chen 016; Lantao Liu (IROS, 2024)

Context-Generative Default Policy for Bounded Rational Agent. - Durgakant Pushp; Junhong Xu; Zheng Chen 016; Lantao Liu (IROS, 2024)

AFRDA: Attentive Feature Refinement for Domain Adaptive Semantic Segmentation. - Md. Al-Masrur Khan; Durgakant Pushp; Lantao Liu (IEEE Robotics Autom. Lett., 2025)