• International Journal of Fuzzy Logic and Intelligent Systems
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• 제10권3호
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• pp.203-209
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• 2010

This paper presents a hierarchical fuzzy motion planner for humanoid robots in 3D uneven environments. First, we define both motion primitives and locomotion primitives of humanoid robots. A high-level planner finds a global path from a global navigation map that is generated based on a combination of 2.5 dimensional maps of the workspace. We use a passage map, an obstacle map and a gradient map of obstacles to distinguish obstacles. A mid-level planner creates subgoals that help the robot efficiently cope with various obstacles using only a small set of locomotion primitives that are useful for stable navigation of the robot. We use a local obstacle map to find the subgoals along the global path. A low-level planner searches for an optimal sequence of locomotion primitives between subgoals by using fuzzy motion planning. We verify our approach on a virtual humanoid robot in a simulated environment. Simulation results show a reduction in planning time and the feasibility of the proposed method.

• 로봇학회논문지
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• 제2권3호
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• pp.275-281
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• 2007

This paper presents a motion planning strategy for legged robots using locomotion primitives in the complex 3D environments. First, we define configuration, motion primitives and locomotion primitives for legged robots. A hierarchical motion planning method based on a combination of 2.5 dimensional maps of the 3D workspace is proposed. A global navigation map is obtained using 2.5 dimensional maps such as an obstacle height map, a passage map, and a gradient map of obstacles to distinguish obstacles. A high-level path planner finds a global path from a 2D navigation map. A mid-level planner creates sub-goals that help the legged robot efficiently cope with various obstacles using only a small set of locomotion primitives that are useful for stable navigation of the robot. A local obstacle map that describes the edge or border of the obstacles is used to find the sub-goals along the global path. A low-level planner searches for a feasible sequence of locomotion primitives between sub-goals. We use heuristic algorithm in local motion planner. The proposed planning method is verified by both locomotion and soccer experiments on a small biped robot in a cluttered environment. Experiment results show an improvement in motion stability.

• 한국언어정보학회지:언어와정보
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• 제3권1호
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• pp.39-63
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• 1999

Korean manner-of-motion verbs have different characteristics from locomotion verbs syntactically and semantically, and they are aptly encoded as having the primitive semantic element MOVE, not GO of Jackendoff(1990)'s Conceptual Semantics framework. This point is shown on the basis of their behavior, the inability to take the Goal 'NP-lo' phrases, the Purposive 'S-le' clauses, the 'NP-ey' phrases, and the atelic interpretation. It is further shown that the apparent locomotion verb behavior of some manner-of-motion verbs, 'exocentric' phenomenon in their meaning composition, is merely a transferred aspect of manner-of-motion verbs. Three kinds of strategies, transformational, quasi-transformational, and lexical ones, are examined to describe this phenomenon, and the lexical one is determined to be the most appropriate. The remaining part of this paper pursues the possibility of adopting Tenny's(1987, 1994) 'Aspectual Interface Hypothesis' in establishing an argument linking system with special attention to 'measuring-out', but concludes that the hypothesis can be accepted only in a restricted part of verbs, and with a modified notion of measuring-out like Jackendoff's(1996).

• 한국정보과학회논문지:시스템및이론
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• 제32권11_12호
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• pp.682-691
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• 2005

본 논문은 사용자의 제어가 가능한 3차원 물리 기반 가상생명체를 생성하는 2단계 진화 시스템을 제안한다. 기존의 방법은 가상생명체의 형상과 기동, 그리고 목표지점추적(target-following)과 같은 상위 레벨의 행위를 한꺼번에 하나의 진화 시스템으로 생성해냄으로 인하여 진화 단계에서의 사용자의 개입을 허용하지 않았다. 본 논문은 하나로 묶여있던 시스템을 다루기 용이한 두 개의 서브시스템으로 분리함으로써 사용자의 개입을 허용한다. 첫 번째 단계로 가상생명체의 몸체와 직진 기동을 위한 하위 레벨 모터 컨트롤러가 진화 알고리즘(evolutionary algorithm)으로 동시에 생성된다. 두 번째 단계에는 생성된 기본 생명체 위에 주어진 경로를 따라가기 위한 상위 레벨 컨트롤러가 인공 신경망을 사용하여 탑재된다. 경로제어(path-following)를 위한 신경망의 연결 가중치는 유전자 알고리즘(genetic algorithm)을 사용하여 최적화되며 한번 진화된 신경망 컨트롤러는 어떠한 임의의 경로도 잘 따라감을 보여준다. 이로써 사용자는 모든 진화과정이 끝나지 않고도 중간단계에서 기호에 맞는 생명체를 골라내거나 버릴 수 있으며, 동일한 기본 생명체 위에 또 다른 형태의 상위레벨 행위를 생성하는 것도 가능해진다. 본 논문은 이러한 2단계 알고리즘과 함께 직진기동을 위한 새로운 분절 삼각 함수(Piecewise sinusoidal) 컨트롤러를 제안하고 마개 실린더(capped-cylinder)를 기본 요소로 하는 가상생명체에 대한 효율적인 실시간 수중역학 모델링 기법도 함께 소개한다.