Daniel King
with Diehr · 2016
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Daniel King trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Daniel King's perspective
Ordered by how strongly the researchers Daniel King trusts endorse each paper. Same corpus, a different order for every researcher.
- Design and use paradigms for Gazebo, an open-source multi-robot simulator
- Robust Monte Carlo localization for mobile robots (Artificial Intelligence)
- ROS: an open-source Robot Operating System
- Herb 2.0: Lessons Learned From Developing a Mobile Manipulator for the Home
- The Office Marathon: Robust navigation in an indoor office environment (IEEE International Conference on Robotics and Automation)
- Autonomous door opening and plugging in with a personal robot
- Towards a personal robotics development platform: Rationale and design of an intrinsically safe personal robot
- Reinforcement Learning: An Introduction
- Apprenticeship learning via inverse reinforcement learning
- Histograms of oriented gradients for human detection
Their papers
- Fetch & Freight : Standard Platforms for Service Robot Applications (2016) — 252 citations