P. Fiorini

Artificial Intelligence · 2008–2023

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom P. Fiorini trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Steven Bird (in Artificial Intelligence)
  2. Martha Palmer (in Natural Language Processing)
  3. M. McHugh (in Evaluation & Benchmarks)
  4. Daniel Gildea (in Artificial Intelligence)
  5. Paul R. Kingsbury (in Artificial Intelligence)
  6. Vincent Ng (in Artificial Intelligence)
  7. Kazi Saidul Hasan (in Artificial Intelligence)
  8. Jimmy J. Lin (in Artificial Intelligence)
  9. Peng Shi (in Artificial Intelligence)

Papers from P. Fiorini's perspective

Ordered by how strongly the researchers P. Fiorini trusts endorse each paper. Same corpus, a different order for every researcher.

  1. BigDog, the Rough-Terrain Quadruped Robot
  2. A reactive controller framework for quadrupedal locomotion on challenging terrain
  3. An improved powered ankle-foot orthosis using proportional myoelectric control. (Gait & Posture)
  4. Unified Impedance and Admittance Control (IEEE International Conference on Robotics and Automation)
  5. The RoboKnee: an exoskeleton for enhancing strength and endurance during walking (IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004)
  6. Capture Point: A Step toward Humanoid Push Recovery (IEEE-RAS International Conference on Humanoid Robots)
  7. Capturability-based analysis and control of legged locomotion, Part 2: Application to M2V2, a lower-body humanoid (Int. J. Robotics Res.)
  8. Power Assist System HAL-3 for Gait Disorder Person (International Conference on Computers for Handicapped Persons)
  9. Cartesian impedance control of redundant robots: recent results with the DLR-light-weight-arms (IEEE International Conference on Robotics and Automation)
  10. Adaptive control of a variable-impedance ankle-foot orthosis to assist drop-foot gait (IEEE transactions on neural systems and rehabilitation engineering)

Their papers