EDBT 2026 Demo / reviewers in the wild / expert
Stephen R. Platt
dblp:29/2583
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Medical and health informatics · 100% | |
| Artificial intelligence
2 papers |
Motion planning and robot control · 50% Legged, aerial and field robots · 50% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Medical and health informatics
surgical robotics |
0.1 | 2 | 2006 | Modeling, Analysis, and Experimental Study of In Vivo Wheeled Robotic Mobility · IEEE Trans. Robotics 2006 Mobile in vivo Biopsy Robot · ICRA 2006 |
Robotics › Motion planning and robot control
mobile robot design |
0.1 | 1 | 2006 | Mobile in vivo Biopsy Robot · ICRA 2006 |
Robotics › Legged, aerial and field robots
wheeled mobile robot |
0.1 | 1 | 2006 | Modeling, Analysis, and Experimental Study of In Vivo Wheeled Robotic Mobility · IEEE Trans. Robotics 2006 |
Medical and health informatics › surgical robotics › minimally invasive surgery
laparoscopic surgery |
0.0 | 1 | 2006 | Modeling, Analysis, and Experimental Study of In Vivo Wheeled Robotic Mobility · IEEE Trans. Robotics 2006 |
Medical and health informatics › surgical robotics
minimally invasive surgery |
0.0 | 1 | 2006 | Mobile in vivo Biopsy Robot · ICRA 2006 |
Medical and health informatics › surgical robotics
single port surgery |
0.0 | 1 | 2006 | Mobile in vivo Biopsy Robot · ICRA 2006 |
Methods — techniques the papers use, named apart from their topics
simulation analysis · 0.1mechanical design · 0.1lead-screw linkage · 0.1experimental analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Miniature in vivo Robots for Remote and Harsh EnvironmentsabstractLong-term human space exploration will require contingencies for emergency medical procedures including some capability to perform surgery. The ability to perform minimally invasive surgery (MIS) would be an important capability. The use of small incisions reduces surgical risk, but also eliminates the ability of the surgeon to view and touch the surgical environment directly. Robotic surgery, or telerobotic surgery, may provide emergency surgical care in remote or harsh environments such as space flight, or extremely forward environments such as battlefields. However, because current surgical robots are large and require extensive support personnel, their implementation has remained limited in forward environments, and they would be difficult, or impossible, to use in space flight or on battlefields. This paper presents experimental analysis of miniature fixed-base and mobile in vivo robots to support MIS surgery in remote and harsh environments. The objective is to develop wireless imaging and task-assisting robots that can be placed inside the abdominal cavity during surgery. Such robots will provide surgical task assistance and enable an on-site or remote surgeon to view the surgical environment from multiple angles. This approach is applicable to long-duration space flight, battlefield situations, and for traditional medical centers and other remote surgical locations. Mark Rentschler, Stephen R. Platt, Kyle R. Berg, Jason Dumpert, Dmitry Oleynikov, Shane Farritor |
IEEE Trans. Inf. Technol. Biomed. | 2 |
| 2006 | Mobile in vivo Biopsy RobotabstractA mobile in vivo camera robot was developed to provide the ability for a single port biopsy procedure. Such a robot can be inserted into the abdominal cavity through a standard trocar. The surgeon controls the robot using visual feedback from the on-board camera. Measurements were made to identify the forces required to successfully biopsy in vivo tissue, including clamping and tearing forces. The robot design was developed around these parameters and the need to traverse the abdominal environment using specially designed wheels. This mobility allows the biopsy robot to move to the area of interest to sample specific tissues. The lead-screw linkage system that actuated the graspers allows for large force production through careful mechanical design. In vivo testing of this system in a porcine (pig) model has been successful. The robot is capable of traversing the entire in vivo abdominal environment and has successfully been used to biopsy hepatic tissue. In addition, experimental analysis of the biopsy mechanism shows good results towards more elaborate tissue manipulation in the future Mark Rentschler, Jason Dumpert, Stephen R. Platt, Dmitry Oleynikov, Shane Farritor, Karl Iagnemma |
ICRA | 3 |
| 2006 | Modeling, Analysis, and Experimental Study of In Vivo Wheeled Robotic MobilityabstractLaparoscopy is abdominal surgery performed with long tools inserted through small incisions. The use of small incisions reduces patient trauma, but also eliminates the surgeon's ability to view and touch the surgical environment directly. These limitations generally restrict the application of laparoscopy to procedures less complex than those performed during open surgery. This paper presents a theoretical and experimental analysis of miniature, wheeled, in vivo robots to support laparoscopy. The objective is to develop a wireless mobile imaging robot that can be placed inside the abdominal cavity during surgery. Such robots will allow the surgeon to view the surgical environment from multiple angles. The motion of these in vivo robots will not be constrained by the insertion incisions. Simulation and experimental analyses have led to a wheel design that can attain good mobility performance in in vivo conditions Mark Rentschler, Jason Dumpert, Stephen R. Platt, Karl Iagnemma, Dmitry Oleynikov, Shane Farritor |
IEEE Trans. Robotics | 3 |