Add to ORKGWe propose an approach to control learning from demonstration that first segments demonstration trajectories to identify subgoals to solve the overall task. Using this approach, we show that a mobile robot is able to solve a combined navigation and manipulation task robustly after observing only a single successful trajectory
Integrating robots in complex everyday environments requires a multitude of problems to be solved. O...
We introduce a simple new method for visual imitation learning, which allows a novel robot manipulat...
In this paper we are on erned with the problem of mobile robot path learning on an unknown world en...
In this paper, a motion segmentation algorithm design is presented with the goal of segmenting a lea...
In this paper, we present new Learning from Demonstration ((LfD) - based algorithm that generalizes ...
The article proposes a new robot programming-by-demonstration framework, which integrates a visual s...
Programming robots often involves expert knowledge in both the robot itself and the task to execute....
Abstract — Robot learning from demonstration presents sev-eral challenges. Given a task demonstratio...
Learning from Demonstration is a powerful method that allows robots to acquire skills from humans th...
Abstract Task demonstration is one effective technique for developing robot motion control policies....
Learning from Demonstration (LfD) aims to learn versatile skills from human demonstrations. The fiel...
Autonomous robots are becoming increasingly commonplace in industry, space exploration, and even dom...
Trajectory learning is a fundamental component in a robot Programming by Demonstration (PbD) system,...
Task demonstration is one effective technique for developing robot motion control policies. As tasks...
DMPs are a common method for learning a control policy for a task from demonstration. This control ...
Integrating robots in complex everyday environments requires a multitude of problems to be solved. O...
We introduce a simple new method for visual imitation learning, which allows a novel robot manipulat...
In this paper we are on erned with the problem of mobile robot path learning on an unknown world en...
In this paper, a motion segmentation algorithm design is presented with the goal of segmenting a lea...
In this paper, we present new Learning from Demonstration ((LfD) - based algorithm that generalizes ...
The article proposes a new robot programming-by-demonstration framework, which integrates a visual s...
Programming robots often involves expert knowledge in both the robot itself and the task to execute....
Abstract — Robot learning from demonstration presents sev-eral challenges. Given a task demonstratio...
Learning from Demonstration is a powerful method that allows robots to acquire skills from humans th...
Abstract Task demonstration is one effective technique for developing robot motion control policies....
Learning from Demonstration (LfD) aims to learn versatile skills from human demonstrations. The fiel...
Autonomous robots are becoming increasingly commonplace in industry, space exploration, and even dom...
Trajectory learning is a fundamental component in a robot Programming by Demonstration (PbD) system,...
Task demonstration is one effective technique for developing robot motion control policies. As tasks...
DMPs are a common method for learning a control policy for a task from demonstration. This control ...
Integrating robots in complex everyday environments requires a multitude of problems to be solved. O...
We introduce a simple new method for visual imitation learning, which allows a novel robot manipulat...
In this paper we are on erned with the problem of mobile robot path learning on an unknown world en...