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To grasp a novel object, we can index it into a database of known 3D models and use precomputed grasp data for those models to suggest a new grasp. We refer to this idea as data-driven grasping, and we have previously introduced the Columbia Grasp Database for this purpose. In this paper we demonstrate a data-driven grasp planner that requires only partial 3D data of an object in order to grasp it...
This paper presents a novel design and preliminary kinematic analysis of an insertable robotic effector platform (IREP) for single port access (SPA) surgery. The IREP robot can be deployed into body cavity through a ??15 mm skin incision to perform SPA procedures. It consists of two snake-like continuum robots as slave surgical assistants for tissue manipulation, two parallelogram mechanisms for the...
Collecting grasp data for learning and benchmarking purposes is very expensive. It would be helpful to have a standard database of graspable objects, along with a set of stable grasps for each object, but no such database exists. In this work we show how to automate the construction of a database consisting of several hands, thousands of objects, and hundreds of thousands of grasps. Using this database,...
In this paper, we present an insertable stereoscopic 3D imaging system for minimally invasive surgery. It has been designed and developed toward the goal of single port surgery. The device is fully inserted into the body cavity and affixed to the abdominal wall. It contains pan and tilt axes to move the camera under simple and intuitive joystick control. A polarization-based stereoscopic display is...
In this paper we outline a grasp planning system designed to augment the cortical control of a prosthetic arm and hand. A key aspect of this system it the ability to combine online user input and autonomous planning to enable the execution of stable grasping tasks. While user input can ultimately be of any modality, the system is being designed to adapt to partial or noisy information obtained from...
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