We describe research at the Stanford Dextrous Manipulation Lab centered around haptic exploration of objects with robot hands. The research areas include object acquisition and manipulation and object exploration with robot ngers to measure surface features, textures and friction. We assume that the robot is semi-autonomous; it can receive guidance or supervision from humans regarding object se...

One of the challenges in implementing a dynamically autonomous mobile robot is achieving a truly human-centric multimodal interface so that human operators can interact with the robot as naturally as they would with another human. Multiple artificial intelligence techniques may be integrated in a distributed computing system through use of an agent-based architecture. In this effort we utilize ...

Autonomous robot soccer system consists of a multi-robot that need to cooperate in unknown, dynamic, and competitive environment. In the cooperation, the interactional behavior of robots is accomplished by their communication. Thus, it is a crucial issue how to realize the real time communications among multi-robots. In this paper, we based the architecture of a communication subsystem of auton...

In recent years, with the development of technology, introduction of autonomous mobile robots to environments close to human life is expected. Examples are shopping cart robots automatically returning to the shopping cart shed after shopping, and guide robots directing the way back to the starting position from the current position in unknown environment. In this paper, we propose a mobile robo...

This paper describes ongoing research into the role of optic-flow derived spatial representations and their relation to cognitive computational models of mental rotation in primates, with the goal of producing effective and unique autonomous robot navigational capabilities. A theoretical framework is outlined based on a vectorial interlingua spanning perception, cognition and motor control. Pro...

There is a resurgence of interest in robot manipulation as researchers seek to push autonomous manipulation out of controlled laboratory settings and into real-world applications such as health care, generalized factory automation, domestic assistance, and space exploration. This workshop facilitated progress towards these goals by focusing on autonomous robot manipulation and the requisite sen...

Self-reconngurable robots consist of a set of one or more identical autonomous modules that can adapt their shape and function to tasks. We describe a module that can function as a climbing robot, a manipula-tor, or a leg in a multi-legged walker. This module can make autonomous transitions between these states. We present the control algorithms that enable our robot to be a versatile navigator...

This paper describes ongoing research into the role of optic-flow derived spatial representations and their relation to cognitive computational models of mental rotation in primates, with the goal of producing effective and unique autonomous robot navigational capabilities. A theoretical framework is outlined based on a vectorial interlingua spanning perception, cognition and motor control. Pro...

Self-reconngurable robots consist of a set of one or more identical autonomous modules that can adapt their shape and function to tasks. We describe a module that can function as a climbing robot, a manipula-tor, or a leg in a multi-legged walker. This module can make autonomous transitions between these states. We present the control algorithms that enable our robot to be a versatile navigator...

In this manuscript, we present an autonomous navigation of a mobile robot using SLAM, while relying on an active stereo vision. We show a framework of low-level software coding which is necessary when the vision is used for multiple purposes such as obstacle discovery. The system was implemented and tested on a mobile robot platform, and perform an experiment of autonomous navigation in an indo...