1270 search results - page 79 / 254 » Dogged Learning for Robots |
IROS
2008
IEEE
14 years 3 months ago
2008
IEEE
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
ABIALS
2008
Springer
13 years 10 months ago
2008
Springer
Abstract. Prediction and Planning are essential elements of successful human driving, making them equally important for autonomously driving systems. Many approaches achieve planni...
ICRA
1998
IEEE
14 years 1 months ago
1998
IEEE
This paper discusses how a robot can develop its state vector according to the complexity of the interactions with its environment. A method for controlling the complexity is prop...
IJACTAICIT
2010
13 years 6 months ago
2010
In this work, a Modified Vector Field Histogram (MVFH) has been developed to improve path planning and obstacle avoidance for a wheeled driven mobile robot. It permits the detecti...
EVOW
2003
Springer
14 years 2 months ago
2003
Springer
Abstract. This paper explores the capabilities of continuous time recurrent neural networks (CTRNNs) to display reinforcement learning-like abilities on a set of T-Maze and double ...