Our paper titled “Simultaneous perception–action design via invariant finite belief sets” is now published in Automatica [AUT23]. We developed an MDP-like framework for Simultaneous Perception-Action DEsign, which we named SPADE(♠️). Congratulations, Michael Hibbard!
Our papers were accepted to the upcoming IEEE Conference on Decision and Control@Singapore. Congratulations, Apurva, Travis, Yujing, and Mustafa! We are also co-organizing an invited session on “Informational Perspectives in Control” with Prof. Gireeja Ranade at UC Berkeley.
Congratulations Dr. Travis Cuvelier and Dr. Ali Reza Pedram!
Congratulations to Jihoon and Apurva!
I was also privileged to give a talk on “Incentives and Privacy in Multi-agent Control Systems” in a pre-conference workshop on Encrypted Control Systems.
A postdoctoral researcher position is available under an AFOSR-sponsored project on perception-based motion planning (PI:Takashi Tanaka). We are particularly interested in candidates with expertise in (i) motion planning and SLAM; (ii) machine learning with emphasis on image recognition and perception; or (iii) networked control systems.
The expected start date is after June 1, 2021 (the exact start date is negotiable). The appointment is for one year, with possible extensions depending on research performance and availability of funds. The salary will be determined based on the standard postdoctoral salary rate of the University of Texas at Austin Cockrell school of Engineering.
We accept applications by email (firstname.lastname@example.org) with the following attachments: 1) a curriculum vitae, 2) two representative publications, and 3) contact information for two references. The application deadline is June, 30, 2021.
We will present the following papers in the upcoming American Control Conference @ New Orleans.
– M. Hibbard, K. Tuggle and T. Tanaka, “Point-Based Value Iteration and Approximately Optimal Dynamic Sensor Selection for Linear-Gaussian Processes”
– J. Suh and T. Tanaka, “Encrypted Value Iteration and Temporal Difference Learning over Leveled Homomorphic Encryption”
– H. Jung and T. Tanaka, “Optimal Data Rate Allocation for Dynamic Sensor Fusion over Resource Constrained Communication Networks”
– A. Pedram, J. Stefan, R. Funada and T. Tanaka, “Rationally Inattentive Path-Planning via RRT*”