no code implementations • 30 Apr 2024 • Robert McCarthy, Daniel C. H. Tan, Dominik Schmidt, Fernando Acero, Nathan Herr, Yilun Du, Thomas G. Thuruthel, Zhibin Li
This includes a discussion of the exciting benefits LfV methods can offer (e. g., improved generalization beyond the available robot data) and commentary on key LfV challenges (e. g., challenges related to missing information in video and LfV distribution shifts).
no code implementations • 25 Mar 2024 • Fernando Acero, Parisa Zehtabi, Nicolas Marchesotti, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
Portfolio optimization involves determining the optimal allocation of portfolio assets in order to maximize a given investment objective.
no code implementations • 21 Mar 2024 • Fernando Acero, Zhibin Li
Recent advancements in reinforcement learning (RL) have led to remarkable achievements in robot locomotion capabilities.
no code implementations • 21 Dec 2023 • Wenbin Hu, Fernando Acero, Eleftherios Triantafyllidis, Zhaocheng Liu, Zhibin Li
We present a modular framework designed to enable a robot hand-arm system to learn how to catch flying objects, a task that requires fast, reactive, and accurately-timed robot motions.
no code implementations • 17 Jul 2023 • Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
Discrete optimization belongs to the set of $\mathcal{NP}$-hard problems, spanning fields such as mixed-integer programming and combinatorial optimization.
no code implementations • 30 Jun 2023 • Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu, Zhibin Li
In this work, we present a Hybrid Hierarchical Learning framework, the Robotic Manipulation Network (ROMAN), to address the challenge of solving multiple complex tasks over long time horizons in robotic manipulation.
1 code implementation • 6 Jun 2023 • Daniel C. H. Tan, Fernando Acero, Robert McCarthy, Dimitrios Kanoulas, Zhibin Li
To address this, we propose a new approach to apply verification methods from control theory to learned value functions.
no code implementations • 28 Sep 2021 • Fernando Acero, Kai Yuan, Zhibin Li
To proactively navigate and traverse various terrains, active use of visual perception becomes indispensable.