Robot Motion Planning and Control

By Jean-Paul Laumond. 1998

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Citations in the corpus

A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, background): “These sub-tasks have their corresponding literature in robotics [66], computer vision [67] and vehicle dynamics [32], which makes the accumulated know-how and expertise directly transferable.”
Rigid Body Dynamics Algorithms (2007, methodology): “(1980a), which was republished in Brady et al. (1982). This original algorithm was formulated using 3D vectors, and appears superficially to be quite different from the one described in Section 5.”
Neural primitives for motion control (2004, background): “The complexity of motor behavior has become more evident to neurobiologists as robotic engineers have identified the computations involved in controlling the motion of artificial manipulators [2].”
Planning algorithms (2006, background): “The term nonholonomic planning was introduced by Laumond [596] to describe the problem of motion planning for wheeled mobile robots (see [598, 636] for overviews).”
Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions (2015, background): “Another definition of holonomy is described in LaValle (2006), Siegwart et al. (2011) and Laumond (1998), where it is stated that car-like vehicles are non-holonomic because their motion is constrained by non-integrable differential constraints due to the assumption that the wheels roll without…”
Motor learning through the combination of primitives. (2000, background): “This is a complex transformation known in robotics as `inverse kinematics’ (Brady et al. 1982).”
Planar Microassembly by Parallel Actuation of MEMS Microrobots (2008, background): “Nonholonomic system: (in the context of this paper) A mobile robotic system with nonholonomic motion constraints, which are constraint equations involving the time derivatives of the configuration variables [45].”
From human to humanoid locomotion—an inverse optimal control approach (2010, background): “In robotics, the problem of generating the overall path (i.e. the trace on the floor) has been extensively studied for mobile wheeled robots (see e.g. Latombe 1991; Laumond 1998; LaValle 2006).”
Reactive Nonholonomic Trajectory Generation via Parametric Optimal Control (2003, methodology): “Variational methods are now commonly applied to nonholonomic motion planning in robotics (Latombe 1991; Laumond 1998).”
Robot dynamics: equations and algorithms (2000, background): “See some of the early books in the area for additional references [7] [11].”
Neural Networks in Mobile Robot Motion (2004, methodology): “Various methods for representing the configuration space have been proposed to solve the findpath problem (Brady, M. & all 1982), (Latombe, J.C. 1991), (Vörös, J. 2002).”