3 accepted papers
Robot manipulation researchers reference human performance as a goal for their work, however, human data is seldom present in robotics benchmarks. We introduce a real-world benchmark targeting manipulation skills for performing electrical circuit inspection with a multimeter using an Internet-connec
The basis for robotics skill learning is an adequate representation of manipulation tasks based on their physical properties. As manipulation tasks are inherently invariant to the choice of reference frame, an ideal task representation would also exhibit this property. Nevertheless, most robotic lea…
We present an accessible robot interface for telemanipulation (A-RIFT), which preserves the haptic channel partially in a zero-additional-cost interface by visual substitution of force feedback (VSFF). This work explores a gap in the literature, resulting from the focus on performance improvements i…