Mike Phillips
Papers
13
Total Citations
630
H-Index
11
About
Mike Phillips is a leading roboticist whose research focuses on enabling robots to navigate and manipulate objects safely and efficiently in complex, dynamic environments. His most influential contribution is the development of **SIPP (Safe Interval Path Planning)**, a seminal algorithm that redefined how robots plan paths among moving obstacles. By treating time as a series of safe intervals rather than a continuous dimension, SIPP dramatically reduces computational complexity, making real-time motion planning in crowded spaces feasible. This work has garnered over 330 citations, cementing its status as a foundational reference in the field. Phillips has also made significant strides in **multi-arm manipulation**, addressing the challenge of coordinating multiple robotic arms—whether on a single platform or across a factory floor—to perform complex tasks. His work on **learning from demonstration** and **parallel planning algorithms** (like PA*SE) further pushes the boundaries of efficient, lifelong robot operation. By combining theoretical rigor with practical, scalable solutions, Phillips’s research directly impacts the deployment of mobile manipulators in real-world settings, from household assistants to industrial automation.
Research Focus
Key Achievements
Top Papers
- 1SIPP: Safe interval path planning for dynamic environments331 citations · 2011
- 2
- 3Planning Single-arm Manipulations with n-Arm Robots66 citations · 2014
- 4Learning to plan for constrained manipulation from demonstrations32 citations · 2015
- 5Planning Single-Arm Manipulations with N-Arm Robots24 citations · 2021
- 6PA*SE: Parallel A* for Slow Expansions22 citations · 2014
- 7Planning for multi-agent teams with leader switching18 citations · 2015
- 8Anytime incremental planning with E-Graphs15 citations · 2013
- 9
- 10Lazy validation of Experience Graphs11 citations · 2015