2 citations · 2 across the 8 of their papers we have counts for
8 papers
Toward Human-in-the-Loop Robot Failure Recovery: Bridging Communication Gaps in Human-Robot Collaboration
Promise Ekpo, Teju Vijay, Dhruv Mandalik +5
Robots can recover from failures by asking bystanders for help, but effective human-in-the-loop recovery requires communication that accounts for differences in people's knowledge.…
REPAIR-Bench: A Benchmark for Robot Error Perception And Interaction Recovery
Giuliano Pioldi, Yashika Batra, Arman Ibrayeva +4
Understanding how users perceive and respond to robot failures is essential for building robust and trustworthy robot systems. Prior work, however, (i) often treats failures as ind…
Ladder Logic Translation using Large Language Models in Industrial Automation
Oluwatosin Ogundare, Promise Ekpo, Nathanial Wiggins
Ladder logic translation is an important problem in industrial automation because without it, it is difficult to switch Programmable Logic Controller (PLC) vendors. The prevailing…
A Generalized Nash Equilibrium-Seeking Scheme for Trauma Resuscitation
Promise Ekpo, Angelique Taylor, Lekan Molu
Trauma resuscitation is a clinical process for treating life-threatening physiological disorders in safety-critical environments, driven by the experience of healthcare workers (HC…
RFM-HRI : A Multimodal Dataset of Medical Robot Failure, User Reaction and Recovery Preferences for Item Retrieval Tasks
Yashika Batra, Giuliano Pioldi, Promise Ekpo +5
While robots deployed in real-world environments inevitably experience interaction failures, understanding how users respond through verbal and non-verbal behaviors remains under-e…
AdaFair-MARL: Enforcing Adaptive Fairness Constraints in Multi-Agent Reinforcement Learning
Promise Ekpo, Saesha Agarwal, Felix Grimm +2
Fair workload enforcement in heterogeneous multi-agent systems that pursue shared objectives remains challenging. Fixed fairness penalties often introduce inefficiencies, training…
Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
Promise Osaine Ekpo, Brian La, Thomas Wiener +5
Fairness in multi-agent reinforcement learning (MARL) is often framed as a workload balance problem, overlooking agent expertise and the structured coordination required in real-wo…
Human-Robot Teaming Field Deployments: A Comparison Between Verbal and Non-verbal Communication
Tauhid Tanjim, Promise Ekpo, Huajie Cao +4
Healthcare workers (HCWs) encounter challenges in hospitals, such as retrieving medical supplies quickly from crash carts, which could potentially result in medical errors and dela…