MARVL
MULTI AGENT ROBOTICS &
VISION LEARNING LAB
Multi-Agent Robotics Vision and Learning (MARVL) Lab focuses on research in- mobile robotics, multi-robot, coordination, planning and scheduling, computer vision and machine learning.
The applications of our research are in field robotics specifically with marine, ground and aerial robots working with humans.
unmanned
ground vehicles
-
Autonomous Urban Driving
-
Multi-Class mobility on demand
RESEARCH
Marine robotics
-
Surface
-
Underwater Vehicles
-
Search and rescue
-
Monitoring
aerial ROBOTICS
-
Human robot coordination
-
AI-Augmented Swarm Intelligence
PUBLICATIONS
Malika Meghjani
Graduate Student | Diver | Netflix
Dr. Malika Meghjani is an Assistant Professor in the Information Systems Technology and Design Pillar at Singapore University of Technology and Design (SUTD). She directs the Multi-Agent Robotics Vision and Learning (MARVL) Lab, with the focus on algorithm design for efficient, reliable and scalable robots that can work independently and collaboratively with humans. Her research interests are in planning under uncertainty, reinforcement learning, computer vision, deep learning, and game theory. The applications of her work are in field robotics ranging from marine robots specifically, underwater and surface vehicles to self-driving cars and other ground vehicles in unstructured environments.
SCIENTIFIC TEAM
PHD
Github
Pamela
Graduate Student | Diver | Netflix
Dr. Malika Meghjani is an Assistant Professor in the Information Systems Technology and Design Pillar at Singapore University of Technology and Design (SUTD). She directs the Multi-Agent Robotics Vision and Learning (MARVL) Lab, with the focus on algorithm design for efficient, reliable and scalable robots that can work independently and collaboratively with humans. Her research interests are in planning under uncertainty, reinforcement learning, computer vision, deep learning, and game theory. The applications of her work are in field robotics ranging from marine robots specifically, underwater and surface vehicles to self-driving cars and other ground vehicles in unstructured environments.
Github
Loo Yi
Graduate Student | Diver | Netflix
Dr. Malika Meghjani is an Assistant Professor in the Information Systems Technology and Design Pillar at Singapore University of Technology and Design (SUTD). She directs the Multi-Agent Robotics Vision and Learning (MARVL) Lab, with the focus on algorithm design for efficient, reliable and scalable robots that can work independently and collaboratively with humans. Her research interests are in planning under uncertainty, reinforcement learning, computer vision, deep learning, and game theory. The applications of her work are in field robotics ranging from marine robots specifically, underwater and surface vehicles to self-driving cars and other ground vehicles in unstructured environments.
Github
Tan Yu Xiang
Graduate Student | Diver | Netflix
Dr. Malika Meghjani is an Assistant Professor in the Information Systems Technology and Design Pillar at Singapore University of Technology and Design (SUTD). She directs the Multi-Agent Robotics Vision and Learning (MARVL) Lab, with the focus on algorithm design for efficient, reliable and scalable robots that can work independently and collaboratively with humans. Her research interests are in planning under uncertainty, reinforcement learning, computer vision, deep learning, and game theory. The applications of her work are in field robotics ranging from marine robots specifically, underwater and surface vehicles to self-driving cars and other ground vehicles in unstructured environments.
MASTERS
Github
Pamela
Graduate Student | Diver | Netflix
Dr. Malika Meghjani is an Assistant Professor in the Information Systems Technology and Design Pillar at Singapore University of Technology and Design (SUTD). She directs the Multi-Agent Robotics Vision and Learning (MARVL) Lab, with the focus on algorithm design for efficient, reliable and scalable robots that can work independently and collaboratively with humans. Her research interests are in planning under uncertainty, reinforcement learning, computer vision, deep learning, and game theory. The applications of her work are in field robotics ranging from marine robots specifically, underwater and surface vehicles to self-driving cars and other ground vehicles in unstructured environments.
Github
Loo Yi
Graduate Student | Diver | Netflix
Dr. Malika Meghjani is an Assistant Professor in the Information Systems Technology and Design Pillar at Singapore University of Technology and Design (SUTD). She directs the Multi-Agent Robotics Vision and Learning (MARVL) Lab, with the focus on algorithm design for efficient, reliable and scalable robots that can work independently and collaboratively with humans. Her research interests are in planning under uncertainty, reinforcement learning, computer vision, deep learning, and game theory. The applications of her work are in field robotics ranging from marine robots specifically, underwater and surface vehicles to self-driving cars and other ground vehicles in unstructured environments.
Github
Pamela
Graduate Student | Diver | Netflix
Dr. Malika Meghjani is an Assistant Professor in the Information Systems Technology and Design Pillar at Singapore University of Technology and Design (SUTD). She directs the Multi-Agent Robotics Vision and Learning (MARVL) Lab, with the focus on algorithm design for efficient, reliable and scalable robots that can work independently and collaboratively with humans. Her research interests are in planning under uncertainty, reinforcement learning, computer vision, deep learning, and game theory. The applications of her work are in field robotics ranging from marine robots specifically, underwater and surface vehicles to self-driving cars and other ground vehicles in unstructured environments.
Github
Loo Yi
Graduate Student | Diver | Netflix
Dr. Malika Meghjani is an Assistant Professor in the Information Systems Technology and Design Pillar at Singapore University of Technology and Design (SUTD). She directs the Multi-Agent Robotics Vision and Learning (MARVL) Lab, with the focus on algorithm design for efficient, reliable and scalable robots that can work independently and collaboratively with humans. Her research interests are in planning under uncertainty, reinforcement learning, computer vision, deep learning, and game theory. The applications of her work are in field robotics ranging from marine robots specifically, underwater and surface vehicles to self-driving cars and other ground vehicles in unstructured environments.
RESEARCH STAFF
Github
Duong
Graduate Student | Diver | Netflix
Dr. Malika Meghjani is an Assistant Professor in the Information Systems Technology and Design Pillar at Singapore University of Technology and Design (SUTD). She directs the Multi-Agent Robotics Vision and Learning (MARVL) Lab, with the focus on algorithm design for efficient, reliable and scalable robots that can work independently and collaboratively with humans. Her research interests are in planning under uncertainty, reinforcement learning, computer vision, deep learning, and game theory. The applications of her work are in field robotics ranging from marine robots specifically, underwater and surface vehicles to self-driving cars and other ground vehicles in unstructured environments.
Github
Sahil
Graduate Student | Diver | Netflix
Dr. Malika Meghjani is an Assistant Professor in the Information Systems Technology and Design Pillar at Singapore University of Technology and Design (SUTD). She directs the Multi-Agent Robotics Vision and Learning (MARVL) Lab, with the focus on algorithm design for efficient, reliable and scalable robots that can work independently and collaboratively with humans. Her research interests are in planning under uncertainty, reinforcement learning, computer vision, deep learning, and game theory. The applications of her work are in field robotics ranging from marine robots specifically, underwater and surface vehicles to self-driving cars and other ground vehicles in unstructured environments.