Marc Freese

2013–2019

A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Who trusts Marc Freese overall

  1. Stephen James
  2. Andy Zeng
  3. Mohit Shridhar
  4. Simon Stepputtis
  5. Lucas Manuelli
  6. Andrew J. Davison
  7. Lei Tai

Papers from Marc Freese's perspective

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

  1. MuJoCo: A physics engine for model-based control
  2. Domain randomization for transferring deep neural networks from simulation to the real world
  3. Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
  4. Deep Learning
  5. Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
  6. Cartman: The Low-Cost Cartesian Manipulator that Won the Amazon Robotics Challenge
  7. Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
  8. Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching
  9. Sim-To-Real via Sim-To-Sim: Data-Efficient Robotic Grasping via Randomized-To-Canonical Adaptation Networks
  10. Open Dynamics Engine を用いたスノーボードロボットシミュレータの開発

Their papers