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Michael Posa

GRASP Lab

31 papers hereh-index 212.4k citations48 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author27

Across the 29 of 31 papers where every author was matched, so the position is known.

fields
  • cs.RO28
  • cs.CV1
  • cs.LG1
  • eess.SY1
affiliations
  • GRASP Lab
Homepage
same name
  • Michael Posa — 5 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedImpact Invariant Control with Applications to Bipedal Locomotion

28 citations · 57 across the 28 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.RO2019

Contact-Aware Controller Design for Complementarity Systems

Alp Aydinoglu, Victor M. Preciado, Michael Posa

While many robotic tasks, like manipulation and locomotion, are fundamentally based in making and breaking contact with the environment, state-of-the-art control policies struggle…

cs.RO2019★ 1 cited

Optimal Reduced-order Modeling of Bipedal Locomotion

Yu-Ming Chen, Michael Posa

State-of-the-art approaches to legged locomotion are widely dependent on the use of models like the linear inverted pendulum (LIP) and the spring-loaded inverted pendulum (SLIP), p…

cs.RO2019★ 1 cited

A Quasi-static Model and Simulation Approach for Pushing, Grasping, and Jamming

Mathew Halm, Michael Posa

Quasi-static models of robotic motion with frictional contact provide a computationally efficient framework for analysis and have been widely used for planning and control of non-p…

cs.RO2019

Modeling and Analysis of Non-unique Behaviors in Multiple Frictional Impacts

Mathew Halm, Michael Posa

Many fundamental challenges in robotics, based in manipulation or locomotion, require making and breaking contact with the environment. To represent the complexity of frictional co…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.