Add to ORKGMotion planning with sequential convex optimization and convex collision checkin
Thesis (Ph.D.)--University of Washington, 2021The topic of this dissertation centers around Successi...
Carrying out a task optimally with respect to time or energy is of significant importance for automa...
sequential convex programming, penalty method, barrier method, reduced gradient method, interior poi...
Motion planning with sequential convex optimization and convex collision checkin
Downloaded from ijr.sagepub.com at UNIV CALIFORNIA BERKELEY LIB on June 24, 2014Article Motion plann...
We present a new optimization-based approach for robotic motion planning among obstacles. Like CHOMP...
Abstract—We present a novel approach for incorporating collision avoidance into trajectory optimizat...
© 2020 IEEE. Real-world environments are inherently uncertain, and to operate safely in these enviro...
This paper presents a multiagent path planning algorithm based on sequential convex programming (SCP...
Recent advances in numerical optimization provide new opportunities to improve the performance of mo...
In this paper, convex approximation methods, suclt as CONLIN, the method of moving asymptotes (MMA) ...
A moving body must go from an initial confguration to a final configuration, avoiding obstacles and ...
Aim of this exercise is to formulate and solve optimal control problems using YALMIP together with t...
Calculating time-optimal point-to-point motion trajectories for second order systems is known to be ...
We study a steered sequential gradient algorithm which minimizes the sum of convex functions by proc...
Thesis (Ph.D.)--University of Washington, 2021The topic of this dissertation centers around Successi...
Carrying out a task optimally with respect to time or energy is of significant importance for automa...
sequential convex programming, penalty method, barrier method, reduced gradient method, interior poi...
Motion planning with sequential convex optimization and convex collision checkin
Downloaded from ijr.sagepub.com at UNIV CALIFORNIA BERKELEY LIB on June 24, 2014Article Motion plann...
We present a new optimization-based approach for robotic motion planning among obstacles. Like CHOMP...
Abstract—We present a novel approach for incorporating collision avoidance into trajectory optimizat...
© 2020 IEEE. Real-world environments are inherently uncertain, and to operate safely in these enviro...
This paper presents a multiagent path planning algorithm based on sequential convex programming (SCP...
Recent advances in numerical optimization provide new opportunities to improve the performance of mo...
In this paper, convex approximation methods, suclt as CONLIN, the method of moving asymptotes (MMA) ...
A moving body must go from an initial confguration to a final configuration, avoiding obstacles and ...
Aim of this exercise is to formulate and solve optimal control problems using YALMIP together with t...
Calculating time-optimal point-to-point motion trajectories for second order systems is known to be ...
We study a steered sequential gradient algorithm which minimizes the sum of convex functions by proc...
Thesis (Ph.D.)--University of Washington, 2021The topic of this dissertation centers around Successi...
Carrying out a task optimally with respect to time or energy is of significant importance for automa...
sequential convex programming, penalty method, barrier method, reduced gradient method, interior poi...