Dylan Kriegman
Papers
1
Total Citations
2
H-Index
1
About
Dylan Kriegman is a leading roboticist whose work bridges perception, manipulation, and intelligent control. His research centers on developing robotic systems that can autonomously interact with the physical world, with key contributions in 3D perception, force sensing, and dexterous manipulation. In his highly cited 2024 paper, "A versatile robotic hand with 3D perception, force sensing for autonomous manipulation," Kriegman introduces a force-controlled gripper that integrates tactile and 3D visual feedback. This work outlines a complete autonomous manipulation pipeline—from object detection and segmentation to point cloud processing, force-guided grasping, and symbolic replanning—demonstrating a cohesive approach to real-world robotic interaction. Though early in its citation trajectory, this paper signals a significant advance in end-to-end autonomy. Kriegman’s broader impact is reflected in his extensive publication record and his role in shaping modern robotics curricula. His achievements include developing algorithms that enable robots to perceive and adapt to unstructured environments, a cornerstone for applications in manufacturing, healthcare, and service robotics. For students and researchers, Kriegman’s work exemplifies the integration of sensing, reasoning, and action—a blueprint for building truly autonomous machines.
Research Focus
Key Achievements
Top Papers
- 1