Cooperative Human Operations with Robot Teams (CoHORT) is inspired by the NASA JPL CADRE rover system. Our research develops hardware and software for compact rover teams performing autonomous exploration tasks.
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CoHORT Rover Prototypes
Key areas of investigation in the CoHORT project
Developing algorithms and protocols that enable multiple rovers to coordinate their activities without constant human supervision. This includes task allocation, path planning, and collective decision-making strategies.
Investigating optimal interfaces and interaction paradigms for humans to effectively monitor and guide teams of autonomous rovers. We're exploring intuitive control systems that balance autonomy with human oversight.
Creating robust, modular rover platforms that can operate reliably in challenging environments. Our design emphasizes energy efficiency, sensor integration, and communications capabilities for team coordination.
Meet the researchers behind the CoHORT project
• Dr. Barry Ridge, CS
• Prof. Amiel Hartman, ME
• Mr. Subhobrata Chakraborty, CS
• Alexander Chakmakian
• Jean Paul Collazo
• Jose Flores
• Miles Kaddoura
• Laila Kaddoura
• Bhumil Kukadiya
• Maxwell Kozlov
• Adrian Nguyen
• Neha Ananthavaram
• Rudra Patel
• Hossein Alishah
• Hariet Yousefi
How CoHORT research can benefit society and industry
CoHORT technologies can enhance planetary exploration missions by enabling teams of rovers to collaboratively map and investigate larger areas with greater efficiency and resilience than single-rover approaches.
Our research has applications in search and rescue operations, where teams of small robots can be deployed to assess dangerous environments and locate survivors without putting human responders at risk.
The multi-robot coordination algorithms developed in CoHORT can be adapted for automated inspection of large industrial facilities, infrastructure, or agricultural areas using teams of specialized robots.
The Cooperative Human Operations with Robot Teams (CoHORT) project at ARCS investigates how teams of small rovers can work together to perform complex tasks autonomously, while also effectively interfacing with human operators.
Inspired by NASA JPL's CADRE (Cooperative Autonomous Distributed Robotic Explorers) system, our project focuses on developing both the hardware and software needed for effective multi-robot coordination and human-robot teaming.
This research has applications in space exploration, disaster response, environmental monitoring, and other scenarios where human access is limited or dangerous.