Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Continuous-curvature path planning with obstacle avoidance is considered. Two path shapes, namely, S and half-S shapes derived from four parameter logistic curves are proposed as solution paths. Closed-form analytic conditions are derived for avoiding rectangular and circular obstacles. Using the zero end curvature property of the proposed paths, a complete path planner is presented joining the individual paths. An analytic bound on the maximum curvature of the paths is derived. A comparison is carried out with existing smooth path planning methodologies based on number of design parameters, complexity in obstacle avoidance, and nature of computations involved. The work highlights the use of logistic curves as a novel, analytically feasible, and applicable path planning methodology.
['Saurabh Upadhyay', 'Ashwini Ratnoo']
I am writing a research paper on a idea Continuous-Curvature Path Planning With Obstacle Avoidance Using Four Parameter Logistic Curves
[{"from": "human", "value": "I am writing a research paper on a idea Continuous-Curvature Path Planning With Obstacle Avoidance Using Four Parameter Logistic Curves"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Continuous-curvature path planning with obstacle avoidance is considered. Two path shapes, namely, S and half-S shapes derived from four parameter logistic curves are proposed as solution paths. Closed-form analytic conditions are derived for avoiding rectangular and circular obstacles. Using the zero end curvature property of the proposed paths, a complete path planner is presented joining the individual paths. An analytic bound on the maximum curvature of the paths is derived. A comparison is carried out with existing smooth path planning methodologies based on number of design parameters, complexity in obstacle avoidance, and nature of computations involved. The work highlights the use of logistic curves as a novel, analytically feasible, and applicable path planning methodology."}]