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Michael Suppa

7 accepted papers

2026

Obstacle Avoidance Using Dynamic Movement Primitives and Reinforcement Learning

RA-L 2026

Learning-based motion planning can quickly generate near-optimal trajectories. However, it often requires either large training datasets or costly collection of human demonstrations. This work proposes an alternative approach that quickly generates smooth, near-optimal collision-free 3D Cartesian tr

Cited by 1SourcecodeScholar
2024

Hybrid Stereo Dense Depth Estimation for Robotic Tasks in Industrial Automation

IROS 2024

We introduce a simple yet effective approach for dense depth reconstruction that operates directly on raw disparity data, eliminating the need for additional disparity refinement stages. By leveraging disparity maps generated from conventional stereo methods, we train a U-Net-based model to directly

Cited by 0SourceScholar
2015

Depth-based tracking with physical constraints for robot manipulation

ICRA 2015poster

This work integrates visual and physical constraints to perform real-time depth-only tracking of articulated objects, with a focus on tracking a robot's manipulators and manipulation targets in realistic scenarios. As such, we extend DART, an existing visual articulated object tracker, to additional…

Cited by 83SourceScholar
2015

Multi-robot 6D graph SLAM connecting decoupled local reference filters

IROS 2015poster

Teams of mobile robots can be deployed in search and rescue missions to explore previously unknown environments. Methods for joint localization and mapping constitute the basis for (semi-)autonomous cooperative action, in particular when navigating in GPS-denied areas. As communication losses may oc…

Cited by 56SourceScholar
2015

Submap matching for stereo-vision based indoor/outdoor SLAM

IROS 2015poster

Autonomous robots operating in semi- or unstructured environments, e.g. during search and rescue missions, require methods for online on-board creation of maps to support path planning and obstacle avoidance. Perception based on stereo cameras is well suited for mixed indoor/outdoor environments. Th…

Cited by 54SourceScholar
2015

Trajectory generation for immediate path-accurate jerk-limited stopping of industrial robots

ICRA 2015poster

Stopping the motion of industrial robots in response to warnings or unexpected sensor data is a special case of trajectory generation. In contrast to emergency stops, here the robot has to satisfy the limits of the acceleration and the jerk. In addition, during the deceleration the robot must follow…

Cited by 17SourceScholar