Deep Learning Based Real-Time Biodiversity Analysis Using Aerial Vehicles. - Siddhant Panigrahi; Prajwal Maski; Asokan Thondiyath (RiTA, 2021)

Design, Analysis, and Testing of a Hybrid VTOL Tilt-Rotor UAV for Increased Endurance. - Siddhant Panigrahi; Yenugu Siva Sai Krishna; Asokan Thondiyath (Sensors, 2021)

Multibody dynamics framework for performance evaluation of an all-terrain rover. - Aditya Kuncolienkar; Siddhant Panigrahi; Asokan Thondiyath (ARSO, 2022)

Real-time Joint Angle Estimation using Mediapipe Framework and Inertial Sensors. - Poongavanam Palani; Siddhant Panigrahi; Sai Abhinav Jammi; Asokan Thondiyath (BIBE, 2022)

Mathematical modeling and control of Biomimetic Autonomous Underwater Vehicle (BAUV) based on flapping propulsion. - Pramod Jadhav; Vignesh D; Siddhant Panigrahi; Asokan Thondiyath; Parameswaran Krishnankutty (AIR, 2023)

Swarm-based exploration in unknown environments: A case study of mobile-robots using ROS framework. - Siddhant Panigrahi; Sivasankar Ganesan; Poongavanam Palani; Pramod Jadhav; Aditya Kuncolienkar; Asokan Thondiyath (AIR, 2023)

Design and Simulation of a Four-Wheeled Rover for Enhanced Lateral Stability. - Aditya Kuncolienkar; Siddhant Panigrahi; Asokan Thondiyath (ICAR, 2023)

Real-Time Identification of Plant Diseases Using Aerial Robots and Deep Learning Techniques. - Prajwal Maski; Siddhant Panigrahi; Abhinav Azad; Asokan Thondiyath (ICAR, 2023)

Real-time biodiversity analysis using deep-learning algorithms on mobile robotic platforms. - Siddhant Panigrahi; Prajwal Maski; Asokan Thondiyath (PeerJ Comput. Sci., 2023)

Self-Evolving Fuzzy-Based Control of Soft Pneumatic Rotary Actuators. - Adil Mohammed Kizhakkethil; Siddhant Panigrahi; Kumar Surjdeo Singh; Avinash S. Pramod; Naveenreddy V. Varala; Ansari Usama; Asokan Thondiyath (ROBIO, 2024)