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20162026
most citedToward Asymptotically-Optimal Inspection Planning via Efficient Near-Optimal Graph Search

16 citations · 41 across the 16 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.RO2021

Toward Learning Context-Dependent Tasks from Demonstration for Tendon-Driven Surgical Robots

Yixuan Huang, Michael Bentley, Tucker Hermans +1

Tendon-driven robots, a type of continuum robot, have the potential to reduce the invasiveness of surgery by enabling access to difficult-to-reach anatomical targets. In the future…

cs.RO2021

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…

cs.RO2021

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…

cs.RO2021★ 3 cited

DeformerNet: A Deep Learning Approach to 3D Deformable Object Manipulation

Bao Thach, Alan Kuntz, Tucker Hermans

In this paper, we propose a novel approach to 3D deformable object manipulation leveraging a deep neural network called DeformerNet. Controlling the shape of a 3D object requires a…

cs.RO2021

A Recurrent Neural Network Approach to Roll Estimation for Needle Steering

Maxwell Emerson, James M. Ferguson, Tayfun Efe Ertop +8

Steerable needles are a promising technology for delivering targeted therapies in the body in a minimally-invasive fashion, as they can curve around anatomical obstacles and hone i…

cs.AI2021

Optimizing Hospital Room Layout to Reduce the Risk of Patient Falls

Sarvenaz Chaeibakhsh, Roya Sabbagh Novin, Tucker Hermans +2

Despite years of research into patient falls in hospital rooms, falls and related injuries remain a serious concern to patient safety. In this work, we formulate a gradient-free co…

cs.RO2021★ 2 cited

Safer Motion Planning of Steerable Needles via a Shaft-to-Tissue Force Model

Michael Bentley, Caleb Rucker, Chakravarthy Reddy +2

Steerable needles are capable of accurately targeting difficult-to-reach clinical sites in the body. By bending around sensitive anatomical structures, steerable needles have the p…