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Henning Tolle

dblp:81/1245 · DBLP profile ↗
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7ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 7Systems, architecture and hardware · 6

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
5 papers
Robot manipulation · 65% Motion planning and robot control · 31% Reinforcement learning · 4%

Topics — the 11 heaviest of 12, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.021998
Capturing Pyramidal-Like Objects · ICRA 1998
Object manipulation by a multifingered gripper: on the transition from precision to power grasp · ICRA 1996
Robotics › Robot manipulation › grasping › grasp stability
equilibrium grasp
0.011998
Capturing Pyramidal-Like Objects · ICRA 1998
Robotics › Robot manipulation › grasping
multifingered grasping
0.011996
Object manipulation by a multifingered gripper: on the transition from precision to power grasp · ICRA 1996
Robotics › Motion planning and robot control
motion planning
0.011994
Motion Planning with Many Degrees of Freedom - Random Reflections at C-Space Obstacles · ICRA 1994
Robotics › Motion planning and robot control › motion planning
sampling-based motion planning
0.011994
Motion Planning with Many Degrees of Freedom - Random Reflections at C-Space Obstacles · ICRA 1994
Robotics › Motion planning and robot control › robot control › torque control
joint torque control
0.011990
Input-dependent stability on joint torque control of robot hand · ICRA 1990
Robotics › Motion planning and robot control
robot control
0.011990
Input-dependent stability on joint torque control of robot hand · ICRA 1990
Robotics › Robot manipulation › contact modeling
frictional contact
0.011998
Capturing Pyramidal-Like Objects · ICRA 1998
Robotics › Robot manipulation
dexterous manipulation
0.011996
Object manipulation by a multifingered gripper: on the transition from precision to power grasp · ICRA 1996
Robotics › Motion planning and robot control
stability analysis
0.011990
Input-dependent stability on joint torque control of robot hand · ICRA 1990
Machine learning › Representation and self-supervised learning
associative memory
0.011987
Hierarchical Learning Control - An Approach with Neuron-Like Associative Memories · NIPS 1987

Methods — techniques the papers use, named apart from their topics

polyhedron grasp · 0.0planar two-fingered hand · 0.0robot-hand coordination · 0.0fingertip grasp transition · 0.0describing function · 0.0backlash modeling · 0.0neuron-like associative memory · 0.0
YearPublicationVenuePosition
2000 Robot assisted disassembly of electronic devices
abstract
Today in almost every part of our daily life we use some kind of electronic device. Among these devices are e.g, small tools used in the kitchen as well as larger devices like a TV set or a personal computer. Because of the large quantity of such end of life products, an environmentally and economically sensible way to treat this problem must be found. Especially for expensive products containing valuable modules nondestructive disassembly and the possibility to reuse some components seems to be a promising approach. The paper describes research for autonomous disassembly of standard PC hardware. A flexible robot system is realized as a complete experimental setup in our laboratory. This demonstrates achieved abilities in the fields of image analysis and extraction and processing of information for planning of actions as well as flexible control of the disassembly process.
Karlheinz Hohm, Hendrik Müller-Hofstede, Henning Tolle
IROS3
1998 Capturing Pyramidal-Like Objects
abstract
This paper discusses a grasp scheme for a pyramidal-like object placed on a table under the gravitational field. We assume that the contact friction is small enough to ensure that any direct grasp fails in achieving an equilibrium grasp. For an idealized 2D triangle object placed vertically on a table, we first show that a planar two-fingered hand can always achieve an equilibrium grasp under frictional contact. We also extend the basic idea to a polyhedron whose face is triangle and show two possible procedures leading to equilibrium grasps. Finally, we verify our idea experimentally for the polyhedra.
Makoto Kaneko, Michael Kessler, Alexandra Weigl, Henning Tolle
ICRA4
1996 Object manipulation by a multifingered gripper: on the transition from precision to power grasp
abstract
Whereas the emphasis of precision grasping only using the fingertips is placed on dexterity and sensitivity, power grasps guarantee high security and stability. But even if the task requires a power grasp, in the initial configuration the complete enveloping by the fingers is often impossible due to the position of the object in the workspace and only a fingertip grasp can be applied. Then a transition from precision to power grasping has to be performed. Based on an experimental study this paper discusses several possibilities to realize this transition by using a three-fingered dextrous hand mounted on a 6DOF robot. In particular it is distinguished between strategies requiring a coordination of robot and hand and strategies performing the transition only by the fingers like humans do.
Karl Kleinmann, J.-O. Hennig, C. Ruhm, Henning Tolle
ICRA4
1994 Motion Planning with Many Degrees of Freedom - Random Reflections at C-Space Obstacles
abstract
This paper describes a motion planner that automatically avoids collisions with obstacles. A transformation of obstacles into configuration space (C-space) is not necessary. Given a polyhedral description of robot, load and environment the algorithm first computes (off-line) a graph which roughly represents the skeleton of the freespace. Due to the way of its computation this graph does not preserve connectivity, although the freespace is a connected set, which is assumed throughout this paper. Reflecting randomly at C-space obstacles a connection between subgraphs is generated. In a second step (online) a connection between a start and a goal configuration to the graph is searched for. The impact of this algorithm concerning movable obstacles is discussed. This method is general and four examples are presented to demonstrate its feasibility by applying it to different kinematic structures with 3, 6 and 12 degrees of freedom.>
Thomas Horsch, F. Schwarz, Henning Tolle
ICRA3
1992 Collision-free Real-time Path-planning In Time Varying Environment
Peter Adolphs, Henning Tolle
IROS2
1990 Input-dependent stability on joint torque control of robot hand
abstract
Input-dependent stability was observed during torque control experiments using the first joint of the Darmstadt-HAND. The friction and compliance existing in tendon-sheath driving systems bring a hysteresis characteristic into the dependence of joint torque output on actuator displacement. While this transmission characteristic is close to the well-known backlash behavior appearing for the gears situated between a motor and load shaft, input-dependent characteristics were found to exist in the backlash region of the transmission system in the case of the use of a practical tendon length. The observed characteristic shows springlike behavior even in the backlash region and it also depends on input. Through experiments, it was confirmed that there are close relationships between the input-dependent backlash characteristics and the input-dependent stability. Based on the experiments, a description is given of the transmission characteristic in simple model equations, and the system stability is explored by using the sinusoidal-input-describing-function technique. A nondimensional stability-criterion map explaining the experimental results is shown.>
Makoto Kaneko, Wolfgang Paetsch, Gunther Kegel, Henning Tolle
ICRA4
1987 Hierarchical Learning Control - An Approach with Neuron-Like Associative Memories
Enis Ersü, Henning Tolle
NIPS2