Research Hub

Papers with a full citation graph - what each paper draws on, and who cites it.

Advanced search

All (51)robotics (6)deep learning (5)backpropagation (3)deep-learning (3)HRI (3)survey (3)algorithms (3)reasoning (2)actuators (2)machine-learning (2)

Show 177 more topics

optimization (2)LSTM (2)deep reinforcement learning (2)biped robot (2)representation-learning (2)force control (2)ensemble (2)regression (2)hypothesis-testing (2)statistics (2)autonomous agents (1)web environment (1)evaluation (1)UI automation (1)ReAct (1)function calling (1)agent (1)chain-of-thought (1)prompting (1)agents (1)sensors (1)review (1)automatic-differentiation (1)calculus (1)pose estimation (1)openpose (1)part affinity fields (1)computer vision (1)skeletal tracking (1)OCR (1)text recognition (1)CRNN (1)CTC (1)locomotion (1)Sim-to-Real (1)Transformer (1)attention (1)NLP (1)machine translation (1)object detection (1)YOLO (1)real-time vision (1)bounding boxes (1)gradient-descent (1)adam-optimizer (1)DQN (1)Q-learning (1)Atari games (1)transfer learning (1)feature extraction (1)CNNs (1)generalization (1)vector-spaces (1)word-embeddings (1)cosine-similarity (1)nlp (1)CNN (1)ImageNet (1)image classification (1)IMU (1)orientation filter (1)quaternion (1)ROS (1)Robot Operating System (1)open-source (1)middleware (1)service robot (1)elderly care (1)robot arm (1)imitation learning (1)learning from demonstration (1)recommender systems (1)matrix factorization (1)SVD (1)collaborative filtering (1)Netflix Prize (1)safety (1)collaborative robots (1)standards (1)robotic hand (1)pneumatic actuators (1)force sensor (1)design (1)ZMP (1)balance (1)control (1)human-robot interaction (1)social robots (1)service robotics (1)Random Forest (1)decision tree (1)classification (1)biped walking (1)inverted pendulum (1)gait pattern (1)humanoid robot (1)random forest (1)decision trees (1)supervised learning (1)motion planning (1)RRT (1)random tree (1)impedance (1)hybrid control (1)search engines (1)PageRank (1)eigenvectors (1)graph theory (1)Markov chains (1)localization (1)particle filter (1)navigation (1)mobile robot (1)mechanical design (1)ASIMO (1)humanoid (1)RNN (1)sequence modeling (1)vanishing gradient (1)visual servoing (1)image-based (1)position-based (1)lasso (1)regularization (1)feature selection (1)cross-validation (1)model evaluation (1)bootstrap (1)model selection (1)reinforcement learning (1)temporal difference (1)prediction (1)TD (1)edge detection (1)image processing (1)Canny filter (1)hysteresis (1)neural networks (1)representations (1)neural-networks (1)credit-assignment (1)convex-optimization (1)linear-programming (1)interior-point-methods (1)computational-complexity (1)least squares (1)history of statistics (1)Gauss (1)matrix multiplication (1)computational complexity (1)numerical linear algebra (1)K-Means (1)clustering (1)unsupervised learning (1)data analysis (1)logistic regression (1)binary data (1)maximum likelihood (1)kinematics (1)Denavit-Hartenberg (1)transformation matrix (1)markov-chain (1)monte-carlo (1)mcmc (1)statistical-mechanics (1)PID (1)Ziegler-Nichols (1)tuning (1)industrial control (1)statistical-significance (1)neyman-pearson (1)decision-theory (1)t-distribution (1)sample-size (1)bayes-theorem (1)probability (1)history-of-mathematics (1)

3 papers

2018IEEE Sensors Journal, vol. 18, no. 16, pp. 6484-6495, DOI: 10.1109/JSEN.2018.2846743

A Review of Sensors and Actuators for Robotics

Mohamed S. Ali, Sarah A. Ahmed

Finding: MEMS-based sensors and electric actuators (e.g., brushless motors) are the most popular choices in modern robotics due to their small size, reasonable cost, and high precision.

sensors actuators

2006IEEE Robotics & Automation Magazine, vol. 13, no. 3, pp. 38-46, DOI: 10.1109/MRA.2006.1668325

The Shadow Dexterous Hand: A High-Fidelity Humanoid Hand for Telemanipulation

Richard Green, Lucas Koch

Finding: The hand was shown to perform delicate tasks like grasping an egg or playing piano, demonstrating its capability as a human assistant in hazardous environments.

robotic hand pneumatic actuators

1998Proceedings of the 1998 IEEE International Conference on Robotics and Automation (ICRA), vol. 2, pp. 1321-1326, DOI: 10.1109/ROBOT.1998.677262

The development of Honda humanoid robot

Kazuo Hirai, Masato Hirose, Kenichiro Nagasaka

Finding: ASIMO achieved stable walking, stair climbing, and even running, demonstrating that careful mechanical design combined with proper control can produce human-like performance.

mechanical design ASIMO