47 citations · 71 across the 8 of their papers we have counts for
9 papers
ProTerrain: Probabilistic Physics-Informed Rough Terrain World Modeling
Golnaz Raja, Ruslan Agishev, Miloš Prágr +4
Uncertainty-aware robot motion prediction is crucial for downstream traversability estimation and safe autonomous navigation in unstructured, off-road environments, where terrain i…
FusionForce: End-to-end Differentiable Neural-Symbolic Layer for Trajectory Prediction
Ruslan Agishev, Karel Zimmermann
We propose end-to-end differentiable model that predicts robot trajectories on rough offroad terrain from camera images and/or lidar point clouds. The model integrates a learnable…
MonoForce: Self-supervised Learning of Physics-informed Model for Predicting Robot-terrain Interaction
Ruslan Agishev, Karel Zimmermann, Vladimír Kubelka +2
While autonomous navigation of mobile robots on rigid terrain is a well-explored problem, navigating on deformable terrain such as tall grass or bushes remains a challenge. To addr…
Self-Supervised Depth Correction of Lidar Measurements from Map Consistency Loss
Ruslan Agishev, Tomáš Pětříček, Karel Zimmermann
Depth perception is considered an invaluable source of information in the context of 3D mapping and various robotics applications. However, point cloud maps acquired using consumer…
DroneStick: Flying Joystick as a Novel Type of Interface
Evgeny Tsykunov, Aleksey Fedoseev, Ekaterina Dorzhieva +5
DroneStick is a novel hands-free method for smooth interaction between a human and a robotic system via one of its agents, without training and any additional handheld or wearable…
SwarmCloak: Landing of Two Micro-Quadrotors on Human Hands Using Wearable Tactile Interface Driven by Light Intensity
Evgeny Tsykunov, Ruslan Agishev, Roman Ibrahimov +4
For the human operator, it is often easier and faster to catch a small size quadrotor right in the midair instead of landing it on a surface. However, interaction strategies for su…
SwarmCloak: Landing of a Swarm of Nano-Quadrotors on Human Arms
Evgeny Tsykunov, Ruslan Agishev, Roman Ibrahimov +4
We propose a novel system SwarmCloak for landing of a fleet of four flying robots on the human arms using light-sensitive landing pads with vibrotactile feedback. We developed two…
AeroVR: Virtual Reality-based Teleoperation with Tactile Feedback for Aerial Manipulation
Grigoriy A. Yashin, Daria Trinitatova, Ruslan T. Agishev +2
Drone application for aerial manipulation is tested in such areas as industrial maintenance, supporting the rescuers in emergencies, and e-commerce. Most of such applications requi…
SwarmTouch: Guiding a Swarm of Micro-Quadrotors with Impedance Control using a Wearable Tactile Interface
Evgeny Tsykunov, Ruslan Agishev, Roman Ibrahimov +3
To achieve a smooth and safe guiding of a drone formation by a human operator, we propose a novel interaction strategy for a human-swarm communication which combines impedance cont…