3 citations · 9 across the 8 of their papers we have counts for
8 papers
Modeling Kinematic Uncertainty of Tendon-Driven Continuum Robots via Mixture Density Networks
Jordan Thompson, Brian Y. Cho, Daniel S. Brown +1
Tendon-driven continuum robot kinematic models are frequently computationally expensive, inaccurate due to unmodeled effects, or both. In particular, unmodeled effects produce unce…
Accounting for Hysteresis in the Forward Kinematics of Nonlinearly-Routed Tendon-Driven Continuum Robots via a Learned Deep Decoder Network
Brian Y. Cho, Daniel S. Esser, Jordan Thompson +3
Tendon-driven continuum robots have been gaining popularity in medical applications due to their ability to curve around complex anatomical structures, potentially reducing the inv…
Efficient and Accurate Mapping of Subsurface Anatomy via Online Trajectory Optimization for Robot Assisted Surgery
Brian Y. Cho, Alan Kuntz
Robotic surgical subtask automation has the potential to reduce the per-patient workload of human surgeons. There are a variety of surgical subtasks that require geometric informat…
DeformerNet: Learning Bimanual Manipulation of 3D Deformable Objects
Bao Thach, Brian Y. Cho, Shing-Hei Ho +2
Applications in fields ranging from home care to warehouse fulfillment to surgical assistance require robots to reliably manipulate the shape of 3D deformable objects. Analytic mod…
Planning Sensing Sequences for Subsurface 3D Tumor Mapping
Brian Y. Cho, Tucker Hermans, Alan Kuntz
Surgical automation has the potential to enable increased precision and reduce the per-patient workload of overburdened human surgeons. An effective automation system must be able…
Learning Visual Shape Control of Novel 3D Deformable Objects from Partial-View Point Clouds
Bao Thach, Brian Y. Cho, Alan Kuntz +1
If robots could reliably manipulate the shape of 3D deformable objects, they could find applications in fields ranging from home care to warehouse fulfillment to surgical assistanc…
Fast and resilient manipulation planning for target retrieval in clutter
Changjoo Nam, Jinhwi Lee, Sang Hun Cheong +2
This paper presents a task and motion planning (TAMP) framework for a robotic manipulator in order to retrieve a target object from clutter. We consider a configuration of objects…
Where to relocate?: Object rearrangement inside cluttered and confined environments for robotic manipulation
Sang Hun Cheong, Brian Y. Cho, Jinhwi Lee +2
We present an algorithm determining where to relocate objects inside a cluttered and confined space while rearranging objects to retrieve a target object. Although methods that dec…