Darwin G. Caldwell
Control and Systems Engineering · 2000–2018
A researcher in the Science corpus: 14 papers; trusts 100 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 64 citations into it; #622 of 8,257 by trust here, #377 by citations
- Artificial Intelligence — 43 citations into it; #7,352 of 35,345 by trust here, #12,580 by citations
- Computer Vision and Pattern Recognition — 37 citations into it; #12,462 of 21,575 by trust here, #9,079 by citations
- Biomedical Engineering — 33 citations into it
- Reinforcement Learning — 25 citations into it; #638 of 2,242 by trust here, #1,118 by citations
- Social Psychology — 16 citations into it
- Cognitive Neuroscience — 15 citations into it; #1,687 of 10,852 by trust here, #3,947 by citations
- Aerospace Engineering — 11 citations into it
Whom Darwin G. Caldwell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sylvain Calinon
- Aude Gemma Billard
- Stefan Schaal
- Jan Peters
- Ross B. Girshick
- Auke Jan Ijspeert
- Heiko Hoffmann
- Sethu Vijayakumar
- Florent Guenter
- Kaiming He
Who trusts Darwin G. Caldwell overall
- Sylvain Calinon
- Seyed Reza Ahmadzadeh
- Gerhard Neumann
- Alexandros Paraschos
- Jan Peters
- Marc Peter Deisenroth
- Sonia Chernova
- Christian Daniel
- Harish Chaandar Ravichandar
- Hema Swetha Koppula
Papers from Darwin G. Caldwell's perspective
Ordered by how strongly the researchers Darwin G. Caldwell trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet Large Scale Visual Recognition Challenge
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Robot motor skill coordination with EM-based Reinforcement Learning (2010) — 303 citations
- AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection (2017) — 366 citations
- Learning and Reproduction of Gestures by Imitation (2010) — 469 citations
- Heuristic Planning for Rough Terrain Locomotion in Presence of External Disturbances and Variable Perception Quality (2018) — 69 citations
- Learning bimanual end-effector poses from demonstrations using task-parameterized dynamical systems (2015) — 83 citations
- Learning Physical Collaborative Robot Behaviors From Human Demonstrations (2016) — 301 citations
- A reactive controller framework for quadrupedal locomotion on challenging terrain (2013) — 199 citations
- Slip Detection and Recovery for Quadruped Robots (2015) — 40 citations
- Probabilistic Contact Estimation and Impact Detection for State Estimation of Quadruped Robots (2017) — 124 citations
- Bio-mimetic actuators: polymeric Pseudo Muscular Actuators and pneumatic Muscle Actuators for biological emulation (2000) — 88 citations
- Development and Control of a ‘Soft-Actuated’ Exoskeleton for Use in Physiotherapy and Training (2003) — 374 citations
- Kernelized movement primitives (2017) — 270 citations
- On improving the extrapolation capability of task-parameterized movement models (2013) — 104 citations
- Imitation Learning of Positional and Force Skills Demonstrated via Kinesthetic Teaching and Haptic Input (2011) — 290 citations