Evidence map›Paper›PMID 33501007›Full record

ReviewFrontiers in robotics and AI2018

An Overview on Principles for Energy Efficient Robot Locomotion.

Navvab Kashiri, Andy Abate, Sabrina J Abram, Alin Albu-Schaffer, Patrick J Clary, Monica Daley, Salman Faraji, Raphael Furnemont, Manolo Garabini, Hartmut Geyer and 14 more

Abstract readReview
In one paragraph

Review in Frontiers in robotics and AI, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Design, Control, and Evaluation of a Robotic Ankle-Foot Prosthesis Emulator.IEEE transactions on medical robotics and bionics · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Do robots outperform humans in human-centered domains?Frontiers in robotics and AI · 2023
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Navvab KashiriHumanoids and Human Centred Mechatronics Lab, Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genova, Italy.
Andy AbateDynamic Robotics Laboratory, School of MIME, Oregon State University, Corvallis, OR, United States.
Sabrina J AbramDepartment of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada.
Alin Albu-SchafferRobotics and Mechatronics Center, German Aerospace Center, Oberpfaffenhofen, Germany.
Patrick J ClaryDynamic Robotics Laboratory, School of MIME, Oregon State University, Corvallis, OR, United States.
Monica DaleyStructure and Motion Laboratory, Royal Veterinary College, Hertfordshire, United Kingdom.
Salman FarajiBiorobotics Laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Raphael FurnemontRobotics and Multibody Mechanics Research Group, Department of Mechanical Engineering, Vrije Universiteit Brussel and Flanders Make, Brussels, Belgium.
Manolo GarabiniCentro di Ricerca "Enrico Piaggio", University of Pisa, Pisa, Italy.
Hartmut GeyerRobotics Institute, Carnegie Mellon University, Pittsburgh, PA, United States.
Alena M GrabowskiApplied Biomechanics Lab, Department of Integrative Physiology, University of Colorado, Boulder, CO, United States.
Jonathan HurstDynamic Robotics Laboratory, School of MIME, Oregon State University, Corvallis, OR, United States.
Jorn MalzahnHumanoids and Human Centred Mechatronics Lab, Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genova, Italy.
Glenn MathijssenRobotics and Multibody Mechanics Research Group, Department of Mechanical Engineering, Vrije Universiteit Brussel and Flanders Make, Brussels, Belgium.
David RemyRobotics and Motion Laboratory, Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, United States.
Wesley RoozingHumanoids and Human Centred Mechatronics Lab, Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genova, Italy.
Mohammad ShahbaziHumanoids and Human Centred Mechatronics Lab, Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genova, Italy.
Surabhi N SimhaDepartment of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada.
Jae-Bok SongDepartment of Mechanical Engineering, Korea University, Seoul, South Korea.
Nils Smit-AnseeuwRobotics and Motion Laboratory, Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, United States.
Stefano StramigioliControl Engineering group, University of Twente, Enschede, Netherlands.
Bram VanderborghtRobotics and Multibody Mechanics Research Group, Department of Mechanical Engineering, Vrije Universiteit Brussel and Flanders Make, Brussels, Belgium.
Yevgeniy YesilevskiyRobotics and Motion Laboratory, Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, United States.
Nikos TsagarakisHumanoids and Human Centred Mechatronics Lab, Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite enhancements in the development of robotic systems, the energy economy of today's robots lags far behind that of biological systems. This is in particular critical for untethered legged robot locomotion. To elucidate the current stage of energy efficiency in legged robotic systems, this paper provides an overview on recent advancements in development of such platforms. The covered different perspectives include actuation, leg structure, control and locomotion principles. We review various robotic actuators exploiting compliance in series and in parallel with the drive-train to permit energy recycling during locomotion. We discuss the importance of limb segmentation under efficiency aspects and with respect to design, dynamics analysis and control of legged robots. This paper also reviews a number of control approaches allowing for energy efficient locomotion of robots by exploiting the natural dynamics of the system, and by utilizing optimal control approaches targeting locomotion expenditure. To this end, a set of locomotion principles elaborating on models for energetics, dynamics, and of the systems is studied.

Indexed as

bio-inspired motionscost of transportenergeticsenergy efficiencylocomotion principlesvariable impedance actuators

Identifiers

PMID33501007
PMCPMC7805619

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.