Sensorimotor Cross-Behavior Knowledge Transfer for Grounded Category Recognition. - Gyan Tatiya; Ramtin Hosseini; Michael C. Hughes; Jivko Sinapov (ICDL-EPIROB, 2019)

Deep Multi-Sensory Object Category Recognition Using Interactive Behavioral Exploration. - Gyan Tatiya; Jivko Sinapov (ICRA, 2019)

Haptic Knowledge Transfer Between Heterogeneous Robots using Kernel Manifold Alignment. - Gyan Tatiya; Yash Shukla; Michael Edegware; Jivko Sinapov (IROS, 2020)

A Framework for Sensorimotor Cross-Perception and Cross-Behavior Knowledge Transfer for Object Categorization. - Gyan Tatiya; Ramtin Hosseini; Michael C. Hughes; Jivko Sinapov (Frontiers Robotics AI, 2020)

A Novelty-Centric Agent Architecture for Changing Worlds. - Muhammad Faizan; Vasanth Sarathy; Gyan Tatiya; Shivam Goel; Saurav Gyawali; Mateo Guaman Castro; Jivko Sinapov; Matthias Scheutz (AAMAS, 2021)

ACuTE: Automatic Curriculum Transfer from Simple to Complex Environments. - Yash Shukla; Christopher Thierauf; Ramtin Hosseini; Gyan Tatiya; Jivko Sinapov (AAMAS, 2022)

Knowledge-driven Scene Priors for Semantic Audio-Visual Embodied Navigation. - Gyan Tatiya; Jonathan Francis; Luca Bondi; Ingrid Navarro; Eric Nyberg; Jivko Sinapov; Jean Oh (CoRR, 2022)

Transferring Implicit Knowledge of Non-Visual Object Properties Across Heterogeneous Robot Morphologies. - Gyan Tatiya; Jonathan Francis; Jivko Sinapov (ICRA, 2023)

Cross-Tool and Cross-Behavior Perceptual Knowledge Transfer for Grounded Object Recognition. - Gyan Tatiya; Jonathan Francis; Jivko Sinapov (CoRR, 2023)

MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Perception. - Gyan Tatiya; Jonathan Francis; Ho-Hsiang Wu; Yonatan Bisk; Jivko Sinapov (CoRR, 2023)

MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Learning via Interactive Perception. - Gyan Tatiya; Jonathan Francis; Ho-Hsiang Wu; Yonatan Bisk; Jivko Sinapov (ICRA, 2024)