8 citations · 10 across the 6 of their papers we have counts for
6 papers
Towards Online Safety Corrections for Robotic Manipulation Policies
Ariana Spalter, Mark Roberts, Laura M. Hiatt
Recent successes in applying reinforcement learning (RL) for robotics has shown it is a viable approach for constructing robotic controllers. However, RL controllers can produce ma…
Composing Option Sequences by Adaptation: Initial Results
Charles A. Meehan, Paul Rademacher, Mark Roberts +1
Robot manipulation in real-world settings often requires adapting the robot's behavior to the current situation, such as by changing the sequences in which policies execute to achi…
Goal-Oriented End-User Programming of Robots
David Porfirio, Mark Roberts, Laura M. Hiatt
End-user programming (EUP) tools must balance user control with the robot's ability to plan and act autonomously. Many existing task-oriented EUP tools enforce a specific level of…
End-User Development for Human-Robot Interaction
Laura Stegner, David Porfirio, Laura M. Hiatt +3
End-user development (EUD) represents a key step towards making robotics accessible for experts and nonexperts alike. Within academia, researchers investigate novel ways that EUD t…
Considerations for End-User Development in the Caregiving Domain
Laura Stegner, David Porfirio, Mark Roberts +1
As service robots become more capable of autonomous behaviors, it becomes increasingly important to consider how people communicate with a robot what task it should perform and how…
Collision-Free Inverse Kinematics Through QP Optimization (iKinQP)
Julia Ashkanazy, Ariana Spalter, Joe Hays +3
Robotic manipulators are often designed with more actuated degrees-of-freedom than required to fully control an end effector's position and orientation. These "redundant" manipulat…