9 citations · 11 across the 5 of their papers we have counts for
6 papers
Over-communicate no more: Situated RL agents learn concise communication protocols
Aleksandra Kalinowska, Elnaz Davoodi, Florian Strub +5
While it is known that communication facilitates cooperation in multi-agent settings, it is unclear how to design artificial agents that can learn to effectively and efficiently co…
Ergodic imitation: Learning from what to do and what not to do
Aleksandra Kalinowska, Ahalya Prabhakar, Kathleen Fitzsimons +1
With growing access to versatile robotics, it is beneficial for end users to be able to teach robots tasks without needing to code a control policy. One possibility is to teach the…
Shoulder abduction loading affects motor coordination in individuals with chronic stroke, informing targeted rehabilitation
Aleksandra Kalinowska, Kyra Rudy, Millicent Schlafly +3
Individuals post stroke experience motor impairments, such as loss of independent joint control, leading to an overall reduction in arm function. Their motion becomes slower and mo…
Task-Based Hybrid Shared Control for Training Through Forceful Interaction
Kathleen Fitzsimons, Aleksandra Kalinowska, Julius P. A. Dewald +1
Despite the fact that robotic platforms can provide both consistent practice and objective assessments of users over the course of their training, there are relatively few instance…
Data-Driven Gait Segmentation for Walking Assistance in a Lower-Limb Assistive Device
Aleksandra Kalinowska, Thomas A. Berrueta, Adam Zoss +1
Hybrid systems, such as bipedal walkers, are challenging to control because of discontinuities in their nonlinear dynamics. Little can be predicted about the systems' evolution wit…
Online User Assessment for Minimal Intervention During Task-Based Robotic Assistance
Aleksandra Kalinowska, Kathleen Fitzsimons, Julius Dewald +1
We propose a novel criterion for evaluating user input for human-robot interfaces for known tasks. We use the mode insertion gradient (MIG)---a tool from hybrid control theory---as…