Sunday, August 27, 2017

Ocean One: a Humanoid Submarine Vessel - 3.4 Research Blog UNSY501

While researching unmanned maritime systems I discovered Stanford’s Ocean One.  A human like remote operated vehicle (ROV), a highly capable impressive machine.  What’s most interesting is that the majority of ROVs are box in shape, there is a square platform with a powertrain system and a few manipulators. This one is shaped like a mermaid with manipulators for arms. 



Traditionally electronics in ROVs are in water tight containers that keep the air in and the water out to protect the electronics. Ocean One imbeds the electronics in oil, which doesn’t compress, and gives this ROV a maximum depth of 2000 meters (Ackerman, 2016).  Ocean One has stereoscopic vision just like a person, which helps the operator view and manipulate the ROV intuitively (Feltlinger, 2016). The arms are spaced from the eyes around the same distance as our arms, it has human like proportions (Feltlinger, 2016). 

There are sensors throughout Ocean One that gauge currents and turbulence in the water, allowing for automated position control.  This means that when the operator is manipulating an object Ocean One automatically compensates and fires its thrusters to keep the itself in place, with additional thrusters in the arms to keep the hands precisely where the operator wants them (Carey, 2016).  These sensors are also used for collision avoidance.  If a collision is imminent Ocean One can use its arms to absorb the impact, just as a person would (Carey, 2016). 

The biggest advantage of Ocean One is the arms.  It enables the operator to reach out and grab objects intuitively.  Both wrists are fitted with force sensors that relay that information back to the operator, enabling them to feel how hard they are gripping objects (Carey, 2016).  There is an automated process to keep the same pressure on an object, to keep a grip on the object but not crush it (Carey, 2016).  Long term Standford wants to place sensors in each finger in order to provide more accurate feedback for the operator (Carey, 2016). 



Ocean One was originally designed to monitor coral reefs, which is why there is force feedback in the arms.  It was used in 2016 to explore a shipwreck off the coast of France. It explored La Lune, which King Louis XIVs flagship, and sank in 1664 (Feltlinger, 2016). It was able to pick up a delicate vase the size of a grapefruit and then place it in a recover basket (Feltlinger, 2016). This feat was followed by Ocean one giving a high-five to the archaeologists that dove to the wreckage with it (Feltlinger, 2016).

The press release for the archaeological survey stated He hovered precisely over the vase, reached out, felt its contours and weight, and stuck a finger inside to get a good grip. He swam over to a recovery basket, gently laid down the vase and shut the lid “(Feltlinger, 2016).

Ocean One represents a future of unmanned vehicles that I am excited about.  The more intuitive we can make these machines the more capable they will become.  Giving force feedback to the operator and allowing them to maneuver the vehicle just like they would themselves is the right direction for unmanned systems. 




References:

Ackerman, E. (2016, April 28). Stanford's Humanoid Diving Robot Takes on Undersea Archaeology and Coral Reefs. Retrieved from http://spectrum.ieee.org/automaton/robotics/ humanoids/stanford-ocean-one-humanoid-diving-robot

Carey, B. (2016, April 27). Stanford's humanoid robotic diver recovers treasures from King Louis XIV's wrecked flagship. Retrieved from http://news.stanford.edu/2016/04/27/robotic-diver-recovers-treasures/

Feltlinger, S. (2016, August 15). Stanford Creates "Robotic Mermaid" To Help With Deep Sea Exploration. Retrieved from https://www.dogonews.com/2016/8/15/stanford-creates-robotic-mermaid-to-help-with-deep-sea-exploration

Sunday, August 20, 2017

Autonomous On Highway Trucks - 2.4 Research Blog 1 UNSY501




Peloton is a company that is designing automated on highway trucks, specifically with a focus on platooning trucks. Platooning is when tracks drive in close proximity at a constant speed which reduces fuel consumption and emission (Peloton Raises, 2017).  Peloton wants to address three major issues for on highway trucks; fuel consumption, safety and operational efficiency (Peloton Raises, 2017).  

Fuel represents around 41% of the total operating costs for on highway trucks (Truck Platooning, n.d.).  Peloton and Lockheed did extensive testing along a 40 mile stretch on Interstate 80 under various conditions with tightly controlled variables such as all identical trucks and identical tire pressures (Truck Platooning, n.d.). The trucks carried specially manufactured fuel tanks, fed by hand pump from standard ones, that were weighed before and after each test segment and a full day’s run, using the same portable scales in all cases” (Truck Platooning, n.d.).  It was determined the lead truck saved 4.5% on fuel and the rear saved 10% when platooned (Truck Platooning, n.d.).

Peloton’s driver assist systems uses direct vehicle-to-vehicle, V2V, communication between trucks. Once paired two trucks will operate together on the highway. The trucks will match the speed set by the first truck in the pair, then all braking and accelerating is done by on board computers in unison with each other (Peloton Raises, 2017).  The computer system can be integrated into any truck, regardless of manufacturer.  This allows any trucks on the highway to platoon, regardless of manufacturer and owner of the truck (Peloton Raises, 2017).

It takes an average human driver around one second to react and apply brakes on the road, a platooned system will do this within a hundredth of a second (V2V and the Cloud, 2017). This increases the safety and allowing the trucks to travel closer together without additional risk.

The key factor behind improving safety is the V2V system.  Using radar based technology the front truck would apply the brake, moments later the truck would slow down, moments later the radar on the rear truck would detect the decrease in speed and then react (V2V and the Cloud, 2017). This reactionary process can take a second or two, which may be too long to avoid an accident.

Using V2V the lead truck is able to communicate with the rear truck when the brakes are being applied, before the lead truck even slows down (V2V and the Cloud, 2017). It will also communicate how hard the brakes are being applied, allowing the rear truck to match the braking force.

Peloton also uses cellular networks and Wi-Fi communications to feed information back to the “Cloud”, it’s main processing hub that operates as the overall control of the system (V2V and the Cloud, 2017).  If two trucks are deemed to be in a location with severe weather, platooning will be denied (V2V and the Cloud, 2017).  The trucks must be on roads designated as highways and the traffic in the area can’t be too heavy (V2V and the Cloud, 2017).  These conditions ensure that platooning only occurs under safe conditions.

One improvement Peloton is developing would be to understand the unique braking capabilities of each truck in the platoon. The truck with the stronger brakes will have to be in the rear in order to pair to improve safety (V2V and the Cloud, 2017). 

Currently Peloton’s system only control acceleration and braking, it’s an intelligent cruise control, there are no regulatory issues with this.  Peloton is looking ahead and wants to automate the rear truck more and more over time.  The front truck will take longer to automate since a driver needs to process and drive in difficult situations (V2V and the Cloud, 2017).    




References:
Peloton Raises $60 million to Improve Truck Platoon Safety and Efficiency Through Automation (April 13, 2017). Retrieved from https://venturebeat.com/2017/04/13/peloton-raises-60-million-to-improve-truck-platoon-safety-and-efficiency-through-automation/

V2V and the Cloud – Essential for Platooning (August 9, 2017). Retrieved from https://www.automotiveworld.com/analysis/v2v-cloud-essential-platooning/

Truck Platooning Trails Take to the Highways (n.d.). Retrieved from http://www.itsinternational.com/sections/nafta/features/truck-platooning-trials-take-to-the-highways/