121 citations · 654 across the 70 of their papers we have counts for
12 papers · 1 filter
Improving User Experience in Preference-Based Optimization of Reward Functions for Assistive Robots
Nathaniel Dennler, Zhonghao Shi, Stefanos Nikolaidis +1
Assistive robots interact with humans and must adapt to different users' preferences to be effective. An easy and effective technique to learn non-expert users' preferences is thro…
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity
Robby Costales, Stefanos Nikolaidis
The wider application of end-to-end learning methods to embodied decision-making domains remains bottlenecked by their reliance on a superabundance of training data representative…
Algorithmic Scenario Generation as Quality Diversity Optimization
Stefanos Nikolaidis
The increasing complexity of robots and autonomous agents that interact with people highlights the critical need for approaches that systematically test them before deployment. Thi…
QD-MAPPER: A Quality Diversity Framework to Automatically Evaluate Multi-Agent Path Finding Algorithms in Diverse Maps
Cheng Qian, Yulun Zhang, Varun Bhatt +3
We use the Quality Diversity (QD) algorithm with Neural Cellular Automata (NCA) to automatically evaluate Multi-Agent Path Finding (MAPF) algorithms by generating diverse maps. Pre…
Quality Diversity for Robot Learning: Limitations and Future Directions
Sumeet Batra, Bryon Tjanaka, Stefanos Nikolaidis +1
Quality Diversity (QD) has shown great success in discovering high-performing, diverse policies for robot skill learning. While current benchmarks have led to the development of po…
GPT-Fabric: Smoothing and Folding Fabric by Leveraging Pre-Trained Foundation Models
Vedant Raval, Enyu Zhao, Hejia Zhang +2
Fabric manipulation has applications in folding blankets, handling patient clothing, and protecting items with covers. It is challenging for robots to perform fabric manipulation s…
Designing Robot Identity: The Role of Voice, Clothing, and Task on Robot Gender Perception
Nathaniel S. Dennler, Mina Kian, Stefanos Nikolaidis +1
Perceptions of gender are a significant aspect of human-human interaction, and gender has wide-reaching social implications for robots deployed in contexts where they are expected…
Using Causal Trees to Estimate Personalized Task Difficulty in Post-Stroke Individuals
Nathaniel Dennler, Stefanos Nikolaidis, Maja Matarić
Adaptive training programs are crucial for recovery post stroke. However, developing programs that automatically adapt depends on quantifying how difficult a task is for a specific…
Guidance Graph Optimization for Lifelong Multi-Agent Path Finding
Yulun Zhang, He Jiang, Varun Bhatt +2
We study how to use guidance to improve the throughput of lifelong Multi-Agent Path Finding (MAPF). Previous studies have demonstrated that, while incorporating guidance, such as h…
Singing the Body Electric: The Impact of Robot Embodiment on User Expectations
Nathaniel Dennler, Stefanos Nikolaidis, Maja Matarić
Users develop mental models of robots to conceptualize what kind of interactions they can have with those robots. The conceptualizations are often formed before interactions with t…
A metric for characterizing the arm nonuse workspace in poststroke individuals using a robot arm
Nathaniel Dennler, Amelia Cain, Erica De Guzman +4
An over-reliance on the less-affected limb for functional tasks at the expense of the paretic limb and in spite of recovered capacity is an often-observed phenomenon in survivors o…
The RoSiD Tool: Empowering Users to Design Multimodal Signals for Human-Robot Collaboration
Nathaniel Dennler, David Delgado, Daniel Zeng +2
Robots that cooperate with humans must be effective at communicating with them. However, people have varied preferences for communication based on many contextual factors, such as…