Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning. - José Amendola; Lucas S. Miura; Anna Helena Reali Costa; Fábio Gagliardi Cozman; Eduardo Aoun Tannuri (IEEE Access, 2020)

Embedding Clustering using Lightweight Contrastive Learning For Cross-Modal Classification. - José Amendola; Linga Reddy Cenkeramaddi; Ajit Jha (ICCCS, 2023)

Single Reinforcement Learning Policy for Landing a Drone Under Different UGV Velocities and Trajectories. - José Amendola; Linga Reddy Cenkeramaddi; Ajit Jha (ICCMA, 2023)

Mobile Robotic Manipulator Based Autonomous Warehouse Operations. - Ørjan Øvsthus; Didrik Nicolai Robsrud; Lars Muggerud; José Amendola; Linga Reddy Cenkeramaddi; Ilya Tyapin; Ajit Jha (ICCMA, 2023)

Lidar-mmW Radar Fusion for Safer UGV Autonomous Navigation with Collision Avoidance. - Didrik Nicolai Robsrud; Ørjan Øvsthus; Lars Muggerud; José Amendola; Linga Reddy Cenkeramaddi; Ilya Tyapin; Ajit Jha (ICCMA, 2023)

Drone Landing on Moving UGV Platform with Reinforcement Learning Based Offsets. - José Amendola; Linga Reddy Cenkeramaddi; Ajit Jha (iSES, 2023)

Motor Bearing Fault Classification using Laser Sensor and Light Weight CNN. - Riccardo Pretto; Aveen Dayal; Yonas Oghbasilasie Haile; José Amendola; Linga Reddy Cenkeramaddi; Kjell G. Robbersmyr; Ajit Jha (iSES, 2023)

Edge-Distributed Fusion of Camera-LiDAR for Robust Moving Object Localization. - José Amendola; Aveen Dayal; Linga Reddy Cenkeramaddi; Ajit Jha (IEEE Access, 2023)

Image Translation and Reconstruction Using a Single Dual Mode Lightweight Encoder. - José Amendola; Linga Reddy Cenkeramaddi; Ajit Jha (IEEE Access, 2024)