1 code implementation • 13 Feb 2024 • Rushang Karia, Pulkit Verma, Alberto Speranzon, Siddharth Srivastava
This paper introduces a new approach for continual planning and model learning in relational, non-stationary stochastic environments.
no code implementations • 18 Dec 2023 • Jared Strader, Nathan Hughes, William Chen, Alberto Speranzon, Luca Carlone
This paper proposes an approach to build 3D scene graphs in arbitrary indoor and outdoor environments.
no code implementations • 22 May 2021 • Yasin Yazicioglu, Alberto Speranzon
We investigate how robust consensus (small steady state variance of the states) can be achieved within a linear time-invariant setting by optimally assigning edges to state-dimensions.
1 code implementation • 9 Nov 2019 • Homagni Saha, Vijay Venkataraman, Alberto Speranzon, Soumik Sarkar
Collaborative decision making in multi-agent systems typically requires a predefined communication protocol among agents.
no code implementations • 2 Dec 2018 • Jayant Sharma, Zixing Wang, Alberto Speranzon, Vijay Venkataraman, Hyun Soo Park
We present a new method to localize a camera within a previously unseen environment perceived from an egocentric point of view.