The evolution of existing transportation systems,mainly driven by
urbani...
Autonomous Vehicles (AVs) have the potential to provide numerous societa...
Modern robotics often involves multiple embodied agents operating within...
We consider the interaction among agents engaging in a driving task and ...
In many applications of category theory it is useful to reason about
"ne...
This paper presents karma mechanisms, a novel approach to the repeated
a...
When designing autonomous systems, we need to consider multiple trade-of...
We present nuReality, a virtual reality 'VR' environment designed to tes...
Modern applications require robots to comply with multiple, often confli...
We develop optimal control strategies for autonomous vehicles (AVs) that...
Challenged by urbanization and increasing travel needs, existing
transpo...
Increasing urbanization and exacerbation of sustainability goals threate...
We develop optimal control strategies for Autonomous Vehicles (AVs) that...
Designing cyber-physical systems is a complex task which requires insigh...
We consider the problem of formally co-designing embodied intelligence a...
This paper considers the problem of computing an optimal trajectory for ...
As robotics matures and increases in complexity, it is more necessary th...
A compositional sheaf-theoretic framework for the modeling of complex
ev...
We examine the influence of input data representations on learning
compl...
RRT* is one of the most widely used sampling-based algorithms for
asympt...
We consider the problem of maximizing distance to road agents for a
self...
We present a new type of coordination mechanism among multiple agents fo...
Despite recent breakthroughs, the ability of deep learning and reinforce...
The behavior of self-driving cars must be compatible with an enormous se...
Nearest-neighbor search dominates the asymptotic complexity of sampling-...
A landmark based heuristic is investigated for reducing query phase run-...
Recently developed neuromorphic vision sensors have become promising
can...
The partially observable Markov decision process (POMDP) provides a
prin...
We examine three different algorithms that enable the collision certific...
Accurate vehicular localization is important for various cooperative veh...