Demo Data from EDBT 2026 / reviewers in the wild / expert
Scott Stanford
dblp:05/3165
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2
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.
| Artificial intelligence
2 papers |
Robot manipulation · 84% Legged, aerial and field robots · 16% | |
| Theoretical computer science
1 paper |
Mathematical optimization · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › grasping › multifingered grasping
enveloping grasp |
0.2 | 1 | 2013 | Kinetic and dimensional optimization for a tendon-driven gripper · ICRA 2013 |
Robotics › Robot manipulation
grasping |
0.2 | 1 | 2013 | Kinetic and dimensional optimization for a tendon-driven gripper · ICRA 2013 |
Robotics › Robot manipulation › grasping › grasping mechanism
electroadhesion |
0.1 | 1 | 2008 | Electroadhesive robots - wall climbing robots enabled by a novel, robust, and electrically controllable adhesion technology · ICRA 2008 |
Robotics › Legged, aerial and field robots › field robotics
wall-climbing robot |
0.1 | 1 | 2008 | Electroadhesive robots - wall climbing robots enabled by a novel, robust, and electrically controllable adhesion technology · ICRA 2008 |
Mathematical optimization
design optimization |
0.0 | 1 | 2013 | Kinetic and dimensional optimization for a tendon-driven gripper · ICRA 2013 |
Methods — techniques the papers use, named apart from their topics
spring parameter optimization · 0.3kinematic optimization · 0.3electrostatic clamping · 0.1electroadhesion · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Kinetic and dimensional optimization for a tendon-driven gripperabstractWe design, optimize and demonstrate the behavior of a tendon-driven robotic gripper performing fingertip and enveloping grasps. The gripper consists of two fingers, each with two links, and is actuated using a single active tendon. During unobstructed closing, the distal links remain parallel, creating exact fingertip grasps. Conversely, if the proximal links are stopped by contact with an object, the distal links start flexing, creating a stable enveloping grasp. We optimize the route of the active tendon and the parameters of the springs providing passive extension forces in order to achieve this behavior. We show how an additional passive tendon can be used as a constraint preventing the gripper from entering undesirable parts of the joint workspace. Finally, we introduce a method for optimizing the dimensions of the links in order to achieve enveloping grasps of a large range of objects, and apply it to a set of common household objects. Matei T. Ciocarlie, Fernando Mier Hicks, Scott Stanford |
ICRA | 3 |
| 2008 | Electroadhesive robots - wall climbing robots enabled by a novel, robust, and electrically controllable adhesion technologyabstractThis paper describes a novel clamping technology called compliant electroadhesion, as well as the first application of this technology to wall climbing robots. As the name implies, electroadhesion is an electrically controllable adhesion technology. It involves inducing electrostatic charges on a wall substrate using a power supply connected to compliant pads situated on the moving robot. High clamping forces (0.2-1.4 Newton supported by 1 square centimeter of clamp area, depending on substrate) have been demonstrated on a wide variety of common building substrates, both rough and smooth as well as both electrically conductive and insulating. Unlike conventional adhesives or dry adhesives, the electroadhesion can be modulated or turned off for mobility or cleaning. The technology uses a very small amount of power (on the order of 20 microwatts/Newton weight held) and shows the ability to repeatably clamp to wall substrates that are heavily covered in dust or other debris. Using this technology, SRI International has demonstrated a variety of wall climbing robots including tracked and legged robots. Harsha Prahlad, Ron Pelrine, Scott Stanford, John Marlow, Roy Kornbluh |
ICRA | 3 |