Browsing by Subject "Motion planning"

Now showing items 1-6 of 6

    • Distributed motion planning algorithms for a collection of vehicles 
      Pargaonkar, Sudhir Sharadrao (Texas A&M University, 2004-09-30)
      Unmanned Vehicles (UVs) currently perform a variety of tasks critical to a military mission. In future, they are envisioned to have the ability to accomplish a mission co-operatively and effectively with limited fuel ...
    • Generalized Sampling-Based Feedback Motion Planners 
      Kumar, Sandip (2012-02-14)
      The motion planning problem can be formulated as a Markov decision process (MDP), if the uncertainties in the robot motion and environments can be modeled probabilistically. The complexity of solving these MDPs grow ...
    • Motion Planning for Autonomous Grain Carts 
      Shangguan, Lantian (2020-04-14)
      In crop harvesting, a combine travels around in the field to collect grain while a grain cart commutes between the combine and a semi-trailer by the roadside to transport the grain. There are several problems associated ...
    • Motion Planning for Unmanned Aerial Vehicles with Resource Constraints 
      Sundar, Kaarthik (2012-10-19)
      Small Unmanned Aerial Vehicles (UAVs) are currently used in several surveillance applications to monitor a set of targets and collect relevant data. One of the main constraints that characterize a small UAV is the maximum ...
    • Multi-robot Caravanning 
      Mahadevan, Aditya (2013-11-06)
      We study multi-robot caravanning, which is loosely defined as the problem of a heterogeneous team of robots visiting specific areas of an environment (waypoints) as a group. After formally defining this problem, we propose ...
    • Time Oriented Anytime Motion Planning with Temporal Difference Learning 
      Grogan, Matthew David (2019-04-08)
      Anytime algorithms are a class of algorithm which are interruptible and whose solution quality improves with time, tending towards an optimal solution. In other words, there is a non-decreasing relationship between time ...