12 citations · 22 across the 8 of their papers we have counts for
8 papers
Active Signal Emitter Placement In Complex Environments
Christopher E. Denniston, Baskın Şenbaşlar, Gaurav S. Sukhatme
Placement of electromagnetic signal emitting devices, such as light sources, has important usage in for signal coverage tasks. Automatic placement of these devices is challenging b…
Collision Avoidance and Navigation for a Quadrotor Swarm Using End-to-end Deep Reinforcement Learning
Zhehui Huang, Zhaojing Yang, Rahul Krupani +3
End-to-end deep reinforcement learning (DRL) for quadrotor control promises many benefits -- easy deployment, task generalization and real-time execution capability. Prior end-to-e…
MRNAV: Multi-Robot Aware Planning and Control Stack for Collision and Deadlock-free Navigation in Cluttered Environments
Baskın Şenbaşlar, Pilar Luiz, Wolfgang Hönig +1
Multi-robot collision-free and deadlock-free navigation in cluttered environments with static and dynamic obstacles is a fundamental problem for many applications. We introduce MRN…
DREAM: Decentralized Real-time Asynchronous Probabilistic Trajectory Planning for Collision-free Multi-Robot Navigation in Cluttered Environments
Baskın Şenbaşlar, Gaurav S. Sukhatme
Collision-free navigation in cluttered environments with static and dynamic obstacles is essential for many multi-robot tasks. Dynamic obstacles may also be interactive, i.e., thei…
RLSS: Real-time, Decentralized, Cooperative, Networkless Multi-Robot Trajectory Planning using Linear Spatial Separations
Baskın Şenbaşlar, Wolfgang Hönig, Nora Ayanian
Trajectory planning for multiple robots in shared environments is a challenging problem especially when there is limited communication available or no central entity. In this artic…
Probabilistic Trajectory Planning for Static and Interaction-aware Dynamic Obstacle Avoidance
Baskın Şenbaşlar, Gaurav S. Sukhatme
Collision-free mobile robot navigation is an important problem for many robotics applications, especially in cluttered environments. In such environments, obstacles can be static o…
RLSS: Real-time Multi-Robot Trajectory Replanning using Linear Spatial Separations
Baskın Şenbaşlar, Wolfgang Hönig, Nora Ayanian
Trajectory replanning is a critical problem for multi-robot teams navigating dynamic environments. We present RLSS (Replanning using Linear Spatial Separations): a real-time trajec…
MAPFAST: A Deep Algorithm Selector for Multi Agent Path Finding using Shortest Path Embeddings
Jingyao Ren, Vikraman Sathiyanarayanan, Eric Ewing +2
Solving the Multi-Agent Path Finding (MAPF) problem optimally is known to be NP-Hard for both make-span and total arrival time minimization. While many algorithms have been develop…