Steve Macenski

Control and Systems Engineering · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Steve Macenski trusts overall

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

  1. Dieter Fox
  2. Morgan Quigley
  3. Nathan P. Koenig
  4. Thomas Moore
  5. Eitan Marder-Eppstein
  6. Michael Montemerlo
  7. Andrew Howard
  8. Daniel W. Stouch
  9. Eric Berger
  10. Sebastian Thrun

Papers from Steve Macenski's perspective

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

  1. KLD-Sampling: Adaptive Particle Filters (Neural Information Processing Systems)
  2. Design and use paradigms for Gazebo, an open-source multi-robot simulator
  3. Perspectives on standardization in mobile robot programming: the Carnegie Mellon Navigation (CARMEN) Toolkit (IEEE/RJS International Conference on Intelligent RObots and Systems)
  4. ROS: an open-source Robot Operating System
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Histograms of oriented gradients for human detection
  8. The Office Marathon: Robust navigation in an indoor office environment (IEEE International Conference on Robotics and Automation)
  9. Gradient-based learning applied to document recognition
  10. STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving

Their papers