5 accepted papers
This paper proposes a novel visual Learning from Demonstration (LfD) system that teaches robots to learn tasks in which an object is put into another object, stacked, or transported by a tool. In such tasks, observation targets become invisible owing to occlusion or frame-out. The proposed “Visual H…
We propose a method for a robot to manipulate an unknown door based on a single user instruction. The primary contributions of this paper are (i) to reduce the user instruction to a single click and (ii) to develop an efficient method to estimate an appropriate shape and manipulation model for a tar…
Robots are designed to tackle specific problems or are designed as a multipurpose platform that achieves a concept. In this letter, we approach the hardware design problem from practice and evaluation through numerous competitions including the Darpa Robotics Challenge, the Amazon Picking Challenge,
In this paper, we present a design and development an autonomous tomato harvesting robot. We developed a harvesting robot with stereo camera which can measure depth in short range and direct sunlight and plucking gripper using the infinity rotational joint. We also evaluate the developed robot throu…
We present a vision cognition framework for tomato harvesting humanoid robot based on geometrical and physical reasoning. Inspired from the natural human harvesting behaviour, our goal is to build a humanoid robot to pick tomatoes autonomously or with minimal human efforts. The proposed vision appro…