As recently demonstrated, Deep Neural Networks (DNN), usually trained us...
By exploiting the modular RISC-V ISA this paper presents the customizati...
A challenging category of robotics problems arises when sensing incurs
s...
Altitude-controlled balloons hold great promise for performing high-prio...
We study planning problems faced by robots operating in uncertain
enviro...
Computation load-sharing across a network of heterogeneous robots is a
p...
Onboard autonomy technologies such as planning and scheduling, identific...
The goal of this paper is to provide a survey and application-focused at...
Multi-robot systems are uniquely well-suited to performing complex tasks...
Autonomous multi-robot systems, where a team of robots shares informatio...
We present the Pluggable Distributed Resource Allocator (PDRA), a middle...
A number of prototypical optimization problems in multi-agent systems (e...
In future transportation systems, the charging behavior of electric
Auto...
In this paper we study models and coordination policies for intermodal
A...
In this paper, we review multi-agent collective behavior algorithms in t...
The goal of this paper is to present an end-to-end, data-driven framewor...
We study the interaction between a fleet of electric, self-driving vehic...