39 citations · 117 across the 12 of their papers we have counts for
13 papers
Handheld Haptic Device with Coupled Bidirectional Input
Megh Vipul Doshi, Michael Hagenow, Robert Radwin +3
Handheld kinesthetic haptic interfaces can provide greater mobility and richer tactile information as compared to traditional grounded devices. In this paper, we introduce a new ha…
Coordinated Multi-Robot Shared Autonomy Based on Scheduling and Demonstrations
Michael Hagenow, Emmanuel Senft, Nitzan Orr +5
Shared autonomy methods, where a human operator and a robot arm work together, have enabled robots to complete a range of complex and highly variable tasks. Existing work primarily…
A Method For Automated Drone Viewpoints to Support Remote Robot Manipulation
Emmanuel Senft, Michael Hagenow, Pragathi Praveena +4
Drones can provide a minimally-constrained adapting camera view to support robot telemanipulation. Furthermore, the drone view can be automated to reduce the burden on the operator…
Manually Acquiring Targets from Multiple Viewpoints Using Video Feedback
Bailey Ramesh, Anna Konstant, Pragathi Praveena +5
Objective: The effect of camera viewpoint was studied when performing visually obstructed psychomotor targeting tasks. Background: Previous research in laparoscopy and robotic tele…
Registering Articulated Objects With Human-in-the-loop Corrections
Michael Hagenow, Emmanuel Senft, Evan Laske +6
Remotely programming robots to execute tasks often relies on registering objects of interest in the robot's environment. Frequently, these tasks involve articulating objects such a…
Affordance Template Registration via Human-in-the-loop Corrections
Michael Hagenow, Michael Zinn, Terrence Fong +2
Affordance Templates (ATs) are a method for parameterizing objects for autonomous robot manipulations. In this approach, instances of an object are registered by positioning a mode…
Task-Level Authoring for Remote Robot Teleoperation
Emmanuel Senft, Michael Hagenow, Kevin Welsh +4
Remote teleoperation of robots can broaden the reach of domain specialists across a wide range of industries such as home maintenance, health care, light manufacturing, and constru…
Recognizing Orientation Slip in Human Demonstrations
Michael Hagenow, Bolun Zhang, Bilge Mutlu +2
Manipulations of a constrained object often use a non-rigid grasp that allows the object to rotate relative to the end effector. This orientation slip strategy is often present in…
Situated Live Programming for Human-Robot Collaboration
Emmanuel Senft, Michael Hagenow, Robert Radwin +3
We present situated live programming for human-robot collaboration, an approach that enables users with limited programming experience to program collaborative applications for hum…
Informing Real-time Corrections in Corrective Shared Autonomy Through Expert Demonstrations
Michael Hagenow, Emmanuel Senft, Robert Radwin +3
Corrective Shared Autonomy is a method where human corrections are layered on top of an otherwise autonomous robot behavior. Specifically, a Corrective Shared Autonomy system lever…
Corrective Shared Autonomy for Addressing Task Variability
Michael Hagenow, Emmanuel Senft, Robert Radwin +3
Many tasks, particularly those involving interaction with the environment, are characterized by high variability, making robotic autonomy difficult. One flexible solution is to int…
A Method for Constraint Inference Using Pose and Wrench Measurements
Guru Subramani, Michael Hagenow, Michael Gleicher +1
Many physical tasks such as pulling out a drawer or wiping a table can be modeled with geometric constraints. These geometric constraints are characterized by restrictions on kinem…
Inferring geometric constraints in human demonstrations
Guru Subramani, Michael Zinn, Michael Gleicher
This paper presents an approach for inferring geometric constraints in human demonstrations. In our method, geometric constraint models are built to create representations of kinem…