40 citations · 74 across the 13 of their papers we have counts for
14 papers
Co^2Gen: Collaboratively Generating Task Plans for Decentralized Multi-Robot and Human Collaboration
Yi Loo, Siddhant Shrivastava, Minh Long Pham +1
Visual Language Action (VLA) models are designed to be generalist robot models that can be implemented across embodiments, tasks and environments. However, their ability to collabo…
Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes
Shanhong Liu, Pai Chet Ng, De Wen Soh +2
Internet memes intertwine visual cues, textual content, and cultural context, making them particularly challenging to interpret in scenarios where humor, sarcasm, and harmful inten…
Seeing Fast and Slow: Bimodal 3D Scene Graphs for Open-set Tasks
Marcel Bartholomeus Prasetyo, Shrutika Vishal Thengane, A Manicka Praveen +2
Open-set task execution can significantly benefit from seamlessly switching between coarse and fine scene representations depending on the context and the evolving information as t…
Efficient Generation of Diverse Cooperative Agents with World Models
Yi Loo, Akshunn Trivedi, Malika Meghjani
A major bottleneck in the training process for Zero-Shot Coordination (ZSC) agents is the generation of partner agents that are diverse in collaborative conventions. Current Cross-…
MERLION: Marine ExploRation with Language guIded Online iNformative Visual Sampling and Enhancement
Shrutika Vishal Thengane, Marcel Bartholomeus Prasetyo, Yu Xiang Tan +1
Autonomous and targeted underwater visual monitoring and exploration using Autonomous Underwater Vehicles (AUVs) can be a challenging task due to both online and offline constraint…
Robot Guided Evacuation with Viewpoint Constraints
Gong Chen, Malika Meghjani, Marcel Bartholomeus Prasetyo
We present a viewpoint-based non-linear Model Predictive Control (MPC) for evacuation guiding robots. Specifically, the proposed MPC algorithm enables evacuation guiding robots to…
Robust Vehicle Localization and Tracking in Rain using Street Maps
Yu Xiang Tan, Malika Meghjani
GPS-based vehicle localization and tracking suffers from unstable positional information commonly experienced in tunnel segments and in dense urban areas. Also, both Visual Odometr…
Online Informative Sampling using Semantic Features in Underwater Environments
Shrutika Vishal Thengane, Yu Xiang Tan, Marcel Bartholomeus Prasetyo +1
The underwater world remains largely unexplored, with Autonomous Underwater Vehicles (AUVs) playing a crucial role in sub-sea explorations. However, continuous monitoring of underw…
Evaluating Visual Odometry Methods for Autonomous Driving in Rain
Yu Xiang Tan, Marcel Bartholomeus Prasetyo, Mohammad Alif Daffa +2
The increasing demand for autonomous vehicles has created a need for robust navigation systems that can also operate effectively in adverse weather conditions. Visual odometry is a…
Localization with Anticipation for Autonomous Urban Driving in Rain
Yu Xiang Tan, Malika Meghjani, Marcel Bartholomeus Prasetyo
This paper presents a localization algorithm for autonomous urban vehicles under rain weather conditions. In adverse weather, human drivers anticipate the location of the ego-vehic…
A Hierarchical Approach to Population Training for Human-AI Collaboration
Yi Loo, Chen Gong, Malika Meghjani
A major challenge for deep reinforcement learning (DRL) agents is to collaborate with novel partners that were not encountered by them during the training phase. This is specifical…
Multi-Target Pursuit by a Decentralized Heterogeneous UAV Swarm using Deep Multi-Agent Reinforcement Learning
Maryam Kouzeghar, Youngbin Song, Malika Meghjani +1
Multi-agent pursuit-evasion tasks involving intelligent targets are notoriously challenging coordination problems. In this paper, we investigate new ways to learn such coordinated…
Multi-Agent Reinforcement Learning for Dynamic Ocean Monitoring by a Swarm of Buoys
Maryam Kouzehgar, Malika Meghjani, Roland Bouffanais
Autonomous marine environmental monitoring problem traditionally encompasses an area coverage problem which can only be effectively carried out by a multi-robot system. In this pap…
Estimating the potential for shared autonomous scooters
Dániel Kondor, Xiaohu Zhang, Malika Meghjani +3
Recent technological developments have shown significant potential for transforming urban mobility. Considering first- and last-mile travel and short trips, the rapid adoption of d…