I am Dr.-Ing. Előd Páll, a robotics R&D leader with over a decade of experience driving innovation at the intersection of AI, control engineering, and human–robot collaboration.
At Interactive Scape GmbH, I lead the LEROSH project, developing trainable, AI-driven robotic systems for skilled trades using intuitive user interfaces, a manual-skill trainable system, and real-time control. My work bridges cutting-edge research with practical industrial deployment — turning robotic intelligence into tangible value for partners and users.
Previously, at TU Berlin, I researched motion planning for robot arms to deliberately exploit contact with their environment, and so, to increase execution robustness. Beyond research, I coordinated multi-partner research tech transfer efforts with Ocado and Disney Research in the EU Horizon 2020 Soft-Manipulation project.
I thrive where deep tech meets leadership — mentoring diverse teams, aligning AI research with business goals, and shaping the future of intelligent robotics systems.
Use-case application of Environmental Constraint Exploitation for robotic surface treatment
Motion Generation With Contact-Based Environmental Constraints (Thesis link)
Human-like grasping from piles leveraging granular Environmental Constraints
Reactive motion planning with contact events
Assistive robotics with POMDP online solver
Inverted rotary pendulum controlled with an optimistic planning algorithm
Vision-based autonomous navigation for railway inspection with a UAV
UAV sensor noises and system identification
Pick and place Matlab application with a Melfa RV-2AJ arm
A Five-bar mechanism with Matlab UI and control for drawing