no code implementations • 18 Apr 2019 • Guangliang Li, Randy Gomez, Keisuke Nakamura, Jinying Lin, Qilei Zhang, Bo He
Our results show that learning from demonstration can allow a TAMER agent to learn a roughly optimal policy up to the deepest search and encourage the agent to explore along the optimal path.
no code implementations • 20 Nov 2020 • Eric Nichols, Leo Gao, Randy Gomez
We present a collaborative storytelling system which works with a human storyteller to create a story by generating new utterances based on the story so far.
no code implementations • 14 Apr 2021 • Jie Huang, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Qixin Sha, Bo He, Guangliang Li
Deep reinforcement learning (DRL) has achieved great successes in many simulated tasks.
no code implementations • 19 Dec 2023 • Tung Nguyen, Eric Nichols, Randy Gomez
Recently, research in human-robot interaction began to consider a robot's influence at the group level.
no code implementations • 18 Feb 2024 • Zining Wang, Paul Reisert, Eric Nichols, Randy Gomez
We develop a custom, state-of-the-art emotion recognition model to dynamically select the robot's tone of voice and utilize emojis from LLM output as cues for generating robot actions.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 18 Feb 2024 • Matouš Jelínek, Eric Nichols, Randy Gomez
This study presents an empirical investigation into the design and impact of autonomous dialogues in human-robot interaction for behavior change coaching.