Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recent research has developed experimentally verified dynamic models for skid-steered wheeled vehicles and used these results to derive a por model for this important class of all-terrain vehicles. As presented in this paper, based on the torque limitations of the vehicle motors, the dynamic model can be used to develop payload and terrain-dependent minimum turn radius constraints and the por model can be used to predict the energy consumption of a given trajectory.  uses these results along with sampling based model predictive optimization to develop an effective methodology for generating dynamically feasible, energy efficient trajectories for skid-steered autonomous ground vehicles (AGVs) and compares the resultant trajectories with those based on the standard distance optimal trajectories. The simulated and experimental results consider an AGV moving at a constant forward velocity on both wood and asphalt surfaces under various payloads. The results show that a small increase in the distance of a trajectory over the distance optimal trajectory can result in a dramatic savings in the AGV’s energy consumption. They also show that distance optimal planning can often produce trajectories that violate the motor torque constraints for skid-steered AGVs, which can result in poor navigation performance.
['Nikhil Gupta', 'Camilo Ordonez', 'Emmanuel G. Collins']
I am writing a research paper on a idea Dynamically feasible, energy efficient motion planning for skid-steered vehicles
[{"from": "human", "value": "I am writing a research paper on a idea Dynamically feasible, energy efficient motion planning for skid-steered vehicles"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recent research has developed experimentally verified dynamic models for skid-steered wheeled vehicles and used these results to derive a por model for this important class of all-terrain vehicles. As presented in this paper, based on the torque limitations of the vehicle motors, the dynamic model can be used to develop payload and terrain-dependent minimum turn radius constraints and the por model can be used to predict the energy consumption of a given trajectory.  uses these results along with sampling based model predictive optimization to develop an effective methodology for generating dynamically feasible, energy efficient trajectories for skid-steered autonomous ground vehicles (AGVs) and compares the resultant trajectories with those based on the standard distance optimal trajectories. The simulated and experimental results consider an AGV moving at a constant forward velocity on both wood and asphalt surfaces under various payloads. The results show that a small increase in the distance of a trajectory over the distance optimal trajectory can result in a dramatic savings in the AGV\u2019s energy consumption. They also show that distance optimal planning can often produce trajectories that violate the motor torque constraints for skid-steered AGVs, which can result in poor navigation performance."}]