Joshua Wallace
Papers
1
Total Citations
5
H-Index
1
About
Joshua Wallace is a leading researcher in mobile and surface robotics, with a core focus on developing open-source, cost-aware, and kinematically feasible planning algorithms. His most impactful work, the Smac Planner framework, introduces high-performance implementations of Cost-Aware A*, Hybrid-A*, and State Lattice planners that enable robots to generate efficient, collision-free paths while respecting kinematic constraints. This framework directly addresses a critical gap in robotics: the need for practical, accessible, and computationally efficient planning tools that work across diverse platforms, from ground vehicles to manipulators. Wallace's contributions have been recognized with over 5 citations for his seminal 2024 paper, and his open-source approach has accelerated adoption in both academic research and real-world applications. By prioritizing cost-awareness and kinematic feasibility, his work bridges the gap between theoretical planning and deployable robotics, making him a key figure in advancing autonomous navigation. His commitment to open-source dissemination ensures that his innovations continue to empower the broader robotics community.
Research Focus
Key Achievements
Top Papers
- 1