20 citations · 30 across the 7 of their papers we have counts for
7 papers
ARMOR: Egocentric Perception for Humanoid Robot Collision Avoidance and Motion Planning
Daehwa Kim, Mario Srouji, Chen Chen +1
Humanoid robots have significant gaps in their sensing and perception, making it hard to perform motion planning in dense environments. To address this, we introduce ARMOR, a novel…
Human Following in Mobile Platforms with Person Re-Identification
Mario Srouji, Yao-Hung Hubert Tsai, Hugues Thomas +1
Human following is a crucial feature of human-robot interaction, yet it poses numerous challenges to mobile agents in real-world scenarios. Some major hurdles are that the target p…
SAFER: Safe Collision Avoidance using Focused and Efficient Trajectory Search with Reinforcement Learning
Mario Srouji, Hugues Thomas, Hubert Tsai +2
Collision avoidance is key for mobile robots and agents to operate safely in the real world. In this work we present SAFER, an efficient and effective collision avoidance system th…
BERT Learns (and Teaches) Chemistry
Josh Payne, Mario Srouji, Dian Ang Yap +1
Modern computational organic chemistry is becoming increasingly data-driven. There remain a large number of important unsolved problems in this area such as product prediction give…
Approximate Graph Spectral Decomposition with the Variational Quantum Eigensolver
Josh Payne, Mario Srouji
Spectral graph theory is a branch of mathematics that studies the relationships between the eigenvectors and eigenvalues of Laplacian and adjacency matrices and their associated gr…
Recurrent Control Nets for Deep Reinforcement Learning
Vincent Liu, Ademi Adeniji, Nathaniel Lee +2
Central Pattern Generators (CPGs) are biological neural circuits capable of producing coordinated rhythmic outputs in the absence of rhythmic input. As a result, they are responsib…
Structured Control Nets for Deep Reinforcement Learning
Mario Srouji, Jian Zhang, Ruslan Salakhutdinov
In recent years, Deep Reinforcement Learning has made impressive advances in solving several important benchmark problems for sequential decision making. Many control applications…