Demo Data from SIGIR 2026 / reviewers in the wild / expert
Joseph L. Jones
dblp:11/5533
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 1995
0000-0002-0692-0743ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 1 first-authorSystems, architecture and hardware · 3 · 1 first-author
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 · 94% Motion planning and robot control · 6% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › grasping
grasp planning |
0.0 | 1 | 1990 | Planning two-fingered grasps for pick-and-place operations on polyhedra · ICRA 1990 |
Robotics › Robot manipulation › grasping
two-fingered grasp |
0.0 | 1 | 1990 | Planning two-fingered grasps for pick-and-place operations on polyhedra · ICRA 1990 |
Robotics › Robot manipulation
grasping |
0.0 | 1 | 1987 | Handey: A robot system that recognizes, plans, and manipulates · ICRA 1987 |
Robotics › Robot manipulation › grasping
pick-and-place |
0.0 | 1 | 1990 | Planning two-fingered grasps for pick-and-place operations on polyhedra · ICRA 1990 |
Robotics › Motion planning and robot control
motion planning |
0.0 | 1 | 1987 | Handey: A robot system that recognizes, plans, and manipulates · ICRA 1987 |
Methods — techniques the papers use, named apart from their topics
configuration-space approximation · 0.0structured light · 0.0depth map · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Kaa: an autonomous serpentine robot utilizes behavior controlabstractThis paper describes the development of an autonomous serpentine robot. This robot is a 12 degree of freedom, untethered, hyper-redundant planar robot, named Kaa. Experiments were conducted in its application to mobility tasks that would be useful in locomotion among parallel pipe structures similar to those found in industrial plants. Kaa utilizes a behavior control system. Unlike classical approaches, that decompose the control system functionally, behavior control approaches decompose the control system by task. This control scheme requires very little computation; Kaa uses two 8-bit, 1 MIP microprocessors with a total of 36 Kbytes of memory. Only simple tactile sensing is employed; the distances between objects in the environment and the robot are neither implicitly modeled nor explicitly sensed by the robot. The behavior control system developed allowed this robot to reliably perform complex autonomous mobility and manipulation tasks with limited computation and sensing resources. Rajiv S. Desai, Charles J. Rosenberg, Joseph L. Jones |
IROS (3) | 3 |
| 1990 | Planning two-fingered grasps for pick-and-place operations on polyhedraabstractThe authors focus on the crucial step in a pick-and-place operation, the choice of grasp. They describe an approach to choosing grasps, implemented in the task-level planning system HANDEY, which attempts to deal in a general fashion with the interaction between the choice of grasp and the choice of paths to reach the grasp. The approach is based on the systematic use of the configuration-space representation of the motion constraints on the robot. A very simple and efficient algorithm for approximating the configuration-space constraints leads to a practical method.> Joseph L. Jones, Tomás Lozano-Pérez |
ICRA | 1 |
| 1987 | Handey: A robot system that recognizes, plans, and manipulatesabstractWe describe a robot system capable of locating a part in an unstructured pile of objects, choose a grasp on the part, plan a motion to reach the part safely, and plan a motion to place the part at a commanded position. The system requires as input a polyhedral world model including models of the part to be manipulated, the robot arm, and any other fixed objects in the environment. In addition, the system builds a depth map, using structured light, of the area where the part is to be found initially. Any other objects present in that area do not have to be modeled. Tomás Lozano-Pérez, Joseph L. Jones, Emmanuel Mazer, Patrick A. O'Donnell, W. Eric L. Grimson, Pierre Tournassoud, Alain Lanusse |
ICRA | 2 |