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20172023
most citedSuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics

110 citations · 361 across the 53 of their papers we have counts for

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Showing 2019 · cs.ROShow all

11 papers · 2 filters

cs.RO2019

Forward Kinematics Kernel for Improved Proxy Collision Checking

Nikhil Das, Michael C. Yip

Kernel functions may be used in robotics for comparing different poses of a robot, such as in collision checking, inverse kinematics, and motion planning. These comparisons provide…

cs.RO2019

CRANE: A highly dexterous needle placement robot for evaluation of interventional radiology procedures

Dimitri A. Schreiber, Hanpeng Jiang, Guosong Li +5

Interventional Radiology (IR) enables earlier diagnosis and less invasive treatment of numerous ailments. Here we present our ongoing development of CRANE: CT RoboticArm and Needle…

cs.RO2019★ 1 cited

ARCSnake: An Archimedes' Screw-Propelled, Reconfigurable Robot Snake for Complex Environments

Dimitri A. Schreiber, Florian Richter, Andrew Bilan +5

This paper presents the design and performance of a screw-propelled redundant serpentine robot. This robot comprises serially linked, identical modules, each incorporating an Archi…

cs.RO2019★ 110 cited

SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics

Yang Li, Florian Richter, Jingpei Lu +4

Traditional control and task automation have been successfully demonstrated in a variety of structured, controlled environments through the use of highly specialized modeled roboti…

cs.RO2019★ 8 cited

Model-free Visual Control for Continuum Robot Manipulators via Orientation Adaptation

Mrinal Verghese, Florian Richter, Aaron Gunn +2

We present an orientation adaptive controller to compensate for the effects of highly constrained environments on continuum manipulator actuation. A transformation matrix updated u…

cs.RO2019★ 3 cited

Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners

Ahmed H. Qureshi, Yinglong Miao, Anthony Simeonov +1

This paper describes Motion Planning Networks (MPNet), a computationally efficient, learning-based neural planner for solving motion planning problems. MPNet uses neural networks t…