The field of autonomous transportation is rapidly evolving to operate in diverse settings and conditions. However, as the number of autonomous vehicles on the road increases the complexity of the computations needed to safely operate all of the autonomous vehicles grows rapidly. across multiple vehicles, this creates a very large volume of computations that must be performed very quickly (e.g., in real or near-real time).   Thus, treating each autonomous vehicle as an independent entity may result in inefficient use of computing resources, as many redundant data collections and computations may be performed (e.g., two vehicles in close proximity may be performing computations related to the same detected object). To address this issue, researches at UC Berkeley proposed algorithms for the management and exchange of shared information across nearby and distant vehicles.According to the proposed arrangement, autonomous vehicles may share data collected by their respective sensor systems with other autonomous vehicles and adjust their operations accordingly in a manner that is more computationally efficient. This can not only increase safety but at the same time reduce computational load required by each individual vehicle.

Assistive exoskeletons are designed to enable humans to perform tasks otherwise beyond their capacities. One area of particular interest is the upper limb. Existing devices for upper limb assistance are powered by active or passive methods. Active devices use motors, but require complicated controllers and consistent power to perform tasks. Passive devices do not require power, but often have fixed parameters meaning that they are not especially versatile. Moreover, the devices that currently exist tend to be bulky, costly, and inefficient. To address those deficiencies, UC Berkeley researchers have developed a semi-passive assistive device for upper limbs. The Berkeley device is lightweight, reduces user fatigue, and increases load carrying capacity. The device is highly versatile, and is able to increase the mobility and functionality of a user’s arm.