68 citations · 93 across the 6 of their papers we have counts for
6 papers
Learning Dynamic Abstract Representations for Sample-Efficient Reinforcement Learning
Mehdi Dadvar, Rashmeet Kaur Nayyar, Siddharth Srivastava
In many real-world problems, the learning agent needs to learn a problem's abstractions and solution simultaneously. However, most such abstractions need to be designed and refined…
Joint Communication and Motion Planning for Cobots
Mehdi Dadvar, Keyvan Majd, Elena Oikonomou +2
The increasing deployment of robots in co-working scenarios with humans has revealed complex safety and efficiency challenges in the computation robot behavior. Movement among huma…
Contemporary Research Trends in Response Robotics
Mehdi Dadvar, Soheil Habibian
The multidisciplinary nature of response robotics has brought about a diversified research community with extended expertise. Motivated by the recent accelerated rate of publicatio…
Design and Implementation of a Maxi-Sized Mobile Robot (Karo) for Rescue Missions
Soheil Habibian, Mehdi Dadvar, Behzad Peykari +4
Rescue robots are expected to carry out reconnaissance and dexterity operations in unknown environments comprising unstructured obstacles. Although a wide variety of designs and im…
Exploration and Coordination of Complementary Multi-Robot Teams in a Hunter and Gatherer Scenario
Mehdi Dadvar, Saeed Moazami, Harley R. Myler +1
The hunter and gatherer approach copes with the problem of dynamic multi-robot task allocation, where tasks are unknowingly distributed over an environment. This approach employs t…
Multi-Agent Task Allocation in Complementary Teams: A Hunter and Gatherer Approach
Mehdi Dadvar, Saeed Moazami, Harley R. Myler +1
Consider a dynamic task allocation problem, where tasks are unknowingly distributed over an environment. This paper considers each task comprised of two sequential subtasks: detect…