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Heiner Peters

dblp:159/0869 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2022
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 since 2021Systems, architecture and hardware · 1 · 1 since 2021

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
1 paper
Motion planning and robot control · 67% Robot manipulation · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
dynamic motion generation
0.612022
Introducing RH5 Manus: A Powerful Humanoid Upper Body Design for Dynamic Movements · ICRA 2022
Robotics › Robot manipulation › robot design
humanoid robot design
0.612022
Introducing RH5 Manus: A Powerful Humanoid Upper Body Design for Dynamic Movements · ICRA 2022
Robotics › Motion planning and robot control
trajectory optimization
0.612022
Introducing RH5 Manus: A Powerful Humanoid Upper Body Design for Dynamic Movements · ICRA 2022

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

trajectory optimization · 0.6series-parallel hybrid design · 0.6
YearPublicationVenuePosition
2022 Challenges of Autonomous In-field Fruit Harvesting and Concept of a Robotic Solution
Tim Tiedemann, Florian Cordes, Matthis Keppner, Heiner Peters
ICINCO4
2022 Introducing RH5 Manus: A Powerful Humanoid Upper Body Design for Dynamic Movements
abstract
It is well established that a stiff structure along with an optimal mass distribution are key features to perform dynamic movements, and parallel designs provide these characteristics to a robot. This work presents the new upper-body design of the humanoid robot RH5 named RH5 Manus with series-parallel hybrid design. The new design choices allow us to perform dynamic motions including tasks that involve a payload of 4 kg in each hand and fast boxing motions. The parallel kinematics combined with an overall serial chain of the robot provides us with high force production along with a larger range of motion and low peripheral inertia. The robot is equipped with backdrivable actuators with current sensing, force-torque sensors, stereo camera, laser scanners, high-resolution encoders etc that provide interaction with operators and environment. We generate several diverse dynamic motions using trajectory optimization, and successfully execute them on the robot with accurate trajectory and velocity tracking, while respecting joint rotation, velocity, and torque limits.
Melya Boukheddimi, Shivesh Kumar, Heiner Peters, Dennis Mronga, Rohan Budhiraja, Frank Kirchner
ICRA3