Deepak Edakkattil Gopinath

Orcid: 0009-0005-4972-2148

According to our database1, Deepak Edakkattil Gopinath authored at least 25 papers between 2017 and 2026.

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Timeline

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Bibliography

2026
On the Strengths and Weaknesses of Data for Open-set Embodied Assistance.
CoRR, March, 2026

Skill Modulates Coaching Language in Embodied Motor Learning.
Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025
Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making.
CoRR, December, 2025

Estimating cognitive biases with attention-aware inverse planning.
CoRR, October, 2025

SimCoachCorpus: A naturalistic dataset with language and trajectories for embodied teaching.
CoRR, September, 2025

Safety with Agency: Human-Centered Safety Filter with Application to AI-Assisted Motorsports.
CoRR, April, 2025

Enhancing Trust Repair in Driving: The Role of AI Emotional Expression and Perceived Control.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Think Deep and Fast: Learning Neural Nonlinear Opinion Dynamics from Inverse Dynamic Games for Split-Second Interactions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Computational Teaching for Driving via Multi-Task Imitation Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Shared Autonomy for Proximal Teaching.
Proceedings of the 20th ACM/IEEE International Conference on Human-Robot Interaction, 2025

From Dashboards to Dialogue: Evaluating a Conversational AI Coach for Performance Driving Skill Development.
Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2025

2024
Learning to Control Complex Robots Using High-Dimensional Body-Machine Interfaces.
ACM Trans. Hum. Robot Interact., September, 2024

Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference.
CoRR, 2024


Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing.
Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023
An Exploratory Multi-Session Study of Learning High-Dimensional Body-Machine Interfacing for Assistive Robot Control.
Proceedings of the International Conference on Rehabilitation Robotics, 2023

2022
Learning Latent Traits for Simulated Cooperative Driving Tasks.
CoRR, 2022

Information Theoretic Intent Disambiguation via Contextual Nudges for Assistive Shared Control.
Proceedings of the Algorithmic Foundations of Robotics XV, 2022

HMIway-env: A Framework for Simulating Behaviors and Preferences to Support Human-AI Teaming in Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Learning to Control Complex Robots Using High-Dimensional Interfaces: Preliminary Insights.
CoRR, 2021

Customized Handling of Unintended Interface Operation In Assistive Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

MAAD: A Model and Dataset for "Attended Awareness" in Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Active Intent Disambiguation for Shared Control Robots.
CoRR, 2020

2017
Human-in-the-Loop Optimization of Shared Autonomy in Assistive Robotics.
IEEE Robotics Autom. Lett., 2017

Mode Switch Assistance To Maximize Human Intent Disambiguation.
Proceedings of the Robotics: Science and Systems XIII, 2017


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