18 citations · 52 across the 8 of their papers we have counts for
10 papers
Nonlinear Thermal Modeling and Predictive Control for Spacecraft Optical Temperature Regulation
Marcus C. Klupar, Daniel T. Larsson, Ewan S. Douglas
Maintaining a stable thermal environment is critical for spacecraft carrying precision optics, as temperature gradients and thermal expansion can alter the geometric alignment of o…
A Sample-Based Approach for Hierarchical Information-Theoretic Compression of Probabilistic Occupancy Grids
Zhenyu Jin, Daniel T. Larsson
We develop a sample-based framework for constructing information-driven hierarchical multi-resolution representations of probabilistic occupancy grids. Recent methods compute infor…
A Dual Approach for Hierarchical Information-Theoretic Tree Abstractions
Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras
In this paper, we consider establishing a formal connection between two distinct tree-abstraction problems inspired by the information-bottleneck (IB) method. Specifically, we cons…
Communication-aware Hierarchical Map Compression of Time-Varying Environments for Mobile Robots
Daniel T. Larsson, Dipankar Maity
In this paper, we develop a systematic framework for the time-sequential compression of dynamic probabilistic occupancy grids. Our approach leverages ideas from signal compression…
Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning
Daniel T. Larsson, Arash Asgharivaskasi, Jaein Lim +2
In this paper, we develop an approach that enables autonomous robots to build and compress semantic environment representations from point-cloud data. Our approach builds a three-d…
A Linear Programming Approach for Resource-Aware Information-Theoretic Tree Abstractions
Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras
In this chapter, an integer linear programming formulation for the problem of obtaining task-relevant, multi-resolution, environment abstractions for resource-constrained autonomou…
Information-Theoretic Abstractions for Resource-Constrained Agents via Mixed-Integer Linear Programming
Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras
In this paper, a mixed-integer linear programming formulation for the problem of obtaining task-relevant, multi-resolution, graph abstractions for resource-constrained agents is pr…
Information-Theoretic Abstractions for Planning in Agents with Computational Constraints
Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras
In this paper, we develop a framework for path-planning on abstractions that are not provided to the agent a priori but instead emerge as a function of the available computational…
Q-Search Trees: An Information-Theoretic Approach Towards Hierarchical Abstractions for Agents with Computational Limitations
Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras
In this paper, we develop a framework to obtain graph abstractions for decision-making by an agent where the abstractions emerge as a function of the agent's limited computational…
Hierarchical State Abstractions for Decision-Making Problems with Computational Constraints
Daniel T. Larsson, Daniel Braun, Panagiotis Tsiotras
In this semi-tutorial paper, we first review the information-theoretic approach to account for the computational costs incurred during the search for optimal actions in a sequentia…