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Quadcopter with two-finger gripper for aerial manipulation.

Journal: Scientific Reports

Article Title: Aerial manipulation of long objects using adaptive neuro-fuzzy controller under battery variability

doi: 10.1038/s41598-025-94937-8

Figure Lengend Snippet: Quadcopter with two-finger gripper for aerial manipulation.

Article Snippet: For this research, a Quanser Qdrone quadcopter UAV is used as the base platform.

Techniques:

Quadcopter control architecture for both simulations and experiments.

Journal: Scientific Reports

Article Title: Aerial manipulation of long objects using adaptive neuro-fuzzy controller under battery variability

doi: 10.1038/s41598-025-94937-8

Figure Lengend Snippet: Quadcopter control architecture for both simulations and experiments.

Article Snippet: For this research, a Quanser Qdrone quadcopter UAV is used as the base platform.

Techniques: Control

( a ) Simulation results of quadcopter position tracking under wind disturbance; ( b ) Simulated wind disturbance applied to the system.

Journal: Scientific Reports

Article Title: Aerial manipulation of long objects using adaptive neuro-fuzzy controller under battery variability

doi: 10.1038/s41598-025-94937-8

Figure Lengend Snippet: ( a ) Simulation results of quadcopter position tracking under wind disturbance; ( b ) Simulated wind disturbance applied to the system.

Article Snippet: For this research, a Quanser Qdrone quadcopter UAV is used as the base platform.

Techniques:

( a ) Quadcopter position tracking and pipe angle; ( b ) Pipe placement with balanced load using the DNN-MRFT based PID controller (on left) and the SO-BFBEL controller (on right) for Case 1.

Journal: Scientific Reports

Article Title: Aerial manipulation of long objects using adaptive neuro-fuzzy controller under battery variability

doi: 10.1038/s41598-025-94937-8

Figure Lengend Snippet: ( a ) Quadcopter position tracking and pipe angle; ( b ) Pipe placement with balanced load using the DNN-MRFT based PID controller (on left) and the SO-BFBEL controller (on right) for Case 1.

Article Snippet: For this research, a Quanser Qdrone quadcopter UAV is used as the base platform.

Techniques:

( a ) Quadcopter position tracking and pipe angle; ( b ) Pipe placement with unbalanced load using the DNN-MRFT based PID controller (on left) and the SO-BFBEL controller (on right) for Case 2.

Journal: Scientific Reports

Article Title: Aerial manipulation of long objects using adaptive neuro-fuzzy controller under battery variability

doi: 10.1038/s41598-025-94937-8

Figure Lengend Snippet: ( a ) Quadcopter position tracking and pipe angle; ( b ) Pipe placement with unbalanced load using the DNN-MRFT based PID controller (on left) and the SO-BFBEL controller (on right) for Case 2.

Article Snippet: For this research, a Quanser Qdrone quadcopter UAV is used as the base platform.

Techniques:

( a ) Quadcopter position tracking and pipe angle; ( b ) Pipe placement under wind disturbance using the DNN-MRFT based PID controller (on left) and the SO-BFBEL controller (on right) for Case 3.

Journal: Scientific Reports

Article Title: Aerial manipulation of long objects using adaptive neuro-fuzzy controller under battery variability

doi: 10.1038/s41598-025-94937-8

Figure Lengend Snippet: ( a ) Quadcopter position tracking and pipe angle; ( b ) Pipe placement under wind disturbance using the DNN-MRFT based PID controller (on left) and the SO-BFBEL controller (on right) for Case 3.

Article Snippet: For this research, a Quanser Qdrone quadcopter UAV is used as the base platform.

Techniques: