Zachary A. Pezzementi

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This paper explores the connection between sensor-based perception and exploration in the context of haptic object identification. The proposed approach combines 1) object recognition from tactile appearance with 2) purposeful haptic exploration of unknown objects to extract appearance information. The recognition component brings to bear computer-vision(More)
Humans can localize lumps in soft tissue using the distributed tactile feedback and processing afforded by the fingers and brain. This task becomes extremely difficult when the fingers are not in direct contact with the tissue, such as in laparoscopic or robot-assisted procedures. Tactile sensors have been proposed to characterize and detect lumps in(More)
We describe a general methodology for tracking 3-dimensional objects in monocular and stereo video that makes use of GPU-accelerated filtering and rendering in combination with machine learning techniques. The method operates on targets consisting of kinematic chains with known geometry. The tracked target is divided into one or more areas of consistent(More)
We present a method for performing object recognition using multiple images acquired from a tactile sensor. The method relies on using the tactile sensor as an imaging device, and builds an object representation based on mosaics of tactile measurements. We then describe an algorithm that is able to recognize an object using a small number of tactile sensor(More)
In this paper, we describe a robot that interacts with humans in a crowded conference environment. The robot detects faces, determines the shirt color of onlooking conference attendants, and reacts with a combination of speech, musical, and movement responses. It continuously updates an internal emotional state, modeled realistically after human psychology(More)
The response of a tactile sensor system (consisting of the sensors themselves and the material covering them) was characterized via robotic experiments. A point spread function model of this response was developed for typical interaction forces, allowing the use of graphics and imaging techniques respectively for simulating and interpreting tactile sensor(More)
Surgical simulators present a safe, practical, and ethical method for surgical training. In order to enhance realism and provide the user with an immersive training experience, simulators should have the capability to provide haptic feedback to the user. High-fidelity surgical simulators also require accurate modeling of the interaction between surgical(More)
Human machine collaborative systems (HMCS) have been developed to enhance sensation and suppress extraneous motions or forces during surgical tasks requiring precise motion. However, to date such systems have enforced constraints on the position or path of a tool, but have not considered the dynamics of motion. Also, the focus has been on the effect of(More)
Certain surgical procedures require a high degree of precise manual control within a very restricted area. Retinal surgeries are part of this group of procedures. During vitreoretinal surgery, the surgeon must visualize, using a microscope, an area spanning a few hundreds of microns in diameter and manually correct the potential pathology using direct(More)
This paper describes the construction of a lighter-than-air robotic blimp for use in an urban search and rescue environment. The blimp uses an onboard wireless camera, sonar, and infrared sensors to perform tasks both autonomously and under teleoperated joystick control. During autonomous flight, the blimp is capable of both following lines on the floor and(More)