Papers
8
Total Citations
127
H-Index
5
About
Erik Macho is a leading researcher in the kinematics and design of parallel manipulators, with a particular focus on workspace analysis, singularity avoidance, and rehabilitation robotics. His foundational work on the 5R planar parallel manipulator (51 citations) introduced a systematic method for mapping workspaces to specific assembly modes, solving a key challenge in direct kinematic problems. He later advanced the field by developing a methodology to compute configuration space and singularity maps (36 citations), enabling more reliable robot design. Macho’s contributions extend to optimal design, where he pioneered non-singular transition strategies to enlarge operational workspaces (10 citations), and to translational parallel manipulators, introducing novel architectures like the 3SS kinematic joint (3 citations). Notably, his recent work on devices for gait and balance rehabilitation (14 citations) addresses the growing need for robotic solutions in neurological recovery, classifying end-effector-based manipulators for clinical use. He also developed a software tool for workspace visualization (6 citations), making complex kinematic analysis accessible to practitioners. With over 120 total citations, Macho’s research bridges theoretical kinematics and practical rehabilitation applications, establishing him as a key figure in modular, reconfigurable parallel robot design.
Research Focus
Key Achievements
Top Papers
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- 2Obtaining configuration space and singularity maps for parallel manipulators36 citations · 2009
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