Maitrey Gramopadhye, Daniel Szafir
Published in Human-Interactive Robot Learning (HIRL) | HRI, 2024
In this paper, we design a system that enables people to interact with an intelligent robot. We conduct a human subjects study to gain insights into the participants’ mental model.
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Michael E. Walker, Maitrey Gramopadhye, Bryce Ikeda, Jack Burns, Daniel Szafir
Published in ACM/IEEE International Conference on Human Robot Interaction (HRI), 2024
In this paper, we present the design and evaluation of an immersive Cyber-Physical Control Room interface for teleoperating remote mobile robots.
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Maitrey Gramopadhye, Arran Zeyu Wang, Leonard Shearer, Tony Qin and Daniel Szafir
Published in Horizons of an Extended Robotics Reality (XR-ROB Workshop) | IROS, 2023
In this paper, we designed a novel VR interface to control a 6-DOF drone and explored the impact and differences of VR and 2D interfaces on layman human-drone interaction.
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Maitrey Gramopadhye, Daniel Szafir
Published in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
In this paper, we propose an approach to utilise large language models and convert high level tasks to environmentally-aware action plans that can be directly mapped to executable agent actions. Our approach involves integrating environmental objects and object relations as additional inputs into LLM action plan generation to provide the system with an awareness of its surroundings.
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Maitrey Gramopadhye, Shreyansh Singh, Kushagra Agarwal, Nitish Srivasatava, Alok Singh, Siddhartha Asthana and Ankur Arora
Published in 30th International Conference on Artificial Neural Networks (ICANN), 2021
In this paper, we propose CuRL and tCuRL, coupled representation learning methods that can effectively capture the higher-order interactions in a bipartite graph of payment entities to detect transaction fraud.
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